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Data Analytics ServiceNow Senior Business Analyst - IRM at NewRocket

Senior Business Analyst gathers requirements, conducts impact analysis, and creates functional specifications for ServiceNow IRM implementations.

Senior Remote Posted about 9 hours ago RemoteFirstJobs Product
What this role involves

ServiceNow Senior Business Analyst

Remote

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments. We are hiring a ServiceNow Senior Business Analyst. We will provide support and guidance to get you up to speed on some of the most amazing projects!  We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

What You Will Be Doing

  • Understand and document business requirements and user stories for ServiceNow implementations.
  • Define customer needs, determine strategies, develop plans/proposals and make recommendations around customer’s internal processes and functions for improved efficiency and effectiveness
  • Own business requirements and agreement of priorities with clients/end users
  • Conduct impact analysis on existing business process and function IRM
  • Produce functional specifications, wireframes, and mock-ups for delivery teams
  • Partner with technical team to conduct demos and show & tells with client end users
  • Contribute to writing test scripts including acceptance criteria
  • Facilitate testing/UAT and obtain agreement on priorities with client / end users

What You Bring Along

  • 5+ years of experience working experience as a Business Analyst
  • Proven ServiceNow experience with expertise in IRM.
  • Strong knowledge of business process architecture principles for cloud-based platforms
  • Strong experience with ServiceNow Platforms in Integration, Security Center, Upgrade, Debugging, Custom Application
  • Understanding of Agile/Scrum methodologies
  • Strong written and verbal communication skills
  • Ability to assess and mitigate risk
  • Strong problem-solving skills; ability to simplify complex situations
  • Strong relationship management skills with all levels
  • Good documentation and stakeholder communication skills

Education:

  • A four-year undergraduate degree in Computer Science, Computer Engineering, Information Systems or demonstrated work experience

Certifications & Knowledge

The candidate must be willing and able to continue their education within the ServiceNow platform and beyond. It is expected that the candidate will be able to complete ServiceNow competency Certifications as well as Module Accreditations.

Preferred Certifications:

  • ServiceNow CSA certification

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

Read the full description
Data Analytics ServiceNow Senior Business Analyst - IRM at NewRocket

Senior Business Analyst who gathers and documents business requirements, defines customer needs, produces functional specifications, and facilitates testing for ServiceNow IRM implementations.

Senior Remote Posted about 9 hours ago RemoteFirstJobs Product
What this role involves

ServiceNow Senior Business Analyst

Remote

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence. With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments. We are hiring a ServiceNow Senior Business Analyst. We will provide support and guidance to get you up to speed on some of the most amazing projects!  We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

What You Will Be Doing

  • Understand and document business requirements and user stories for ServiceNow implementations.
  • Define customer needs, determine strategies, develop plans/proposals and make recommendations around customer’s internal processes and functions for improved efficiency and effectiveness
  • Own business requirements and agreement of priorities with clients/end users
  • Conduct impact analysis on existing business process and function IRM
  • Produce functional specifications, wireframes, and mock-ups for delivery teams
  • Partner with technical team to conduct demos and show & tells with client end users
  • Contribute to writing test scripts including acceptance criteria
  • Facilitate testing/UAT and obtain agreement on priorities with client / end users

What You Bring Along

  • 5+ years of experience working experience as a Business Analyst
  • Proven ServiceNow experience with expertise in IRM.
  • Strong knowledge of business process architecture principles for cloud-based platforms
  • Strong experience with ServiceNow Platforms in Integration, Security Center, Upgrade, Debugging, Custom Application
  • Understanding of Agile/Scrum methodologies
  • Strong written and verbal communication skills
  • Ability to assess and mitigate risk
  • Strong problem-solving skills; ability to simplify complex situations
  • Strong relationship management skills with all levels
  • Good documentation and stakeholder communication skills

Education:

  • A four-year undergraduate degree in Computer Science, Computer Engineering, Information Systems or demonstrated work experience

Certifications & Knowledge

The candidate must be willing and able to continue their education within the ServiceNow platform and beyond. It is expected that the candidate will be able to complete ServiceNow competency Certifications as well as Module Accreditations.

Preferred Certifications:

  • ServiceNow CSA certification

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

Read the full description
Data Analytics Technical Business Systems Analyst SR at Sagent

Analyzes complex mortgage servicing data and business requirements to define data solutions, translating stakeholder needs into technical specifications for data engineering and reporting teams.

Senior Remote Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

Why you’ll LOVE Sagent:

You could work anywhere. We know you are talented and looking for something inspiring and impactful. A place where you will make a difference and have a great time doing it!

By choosing Sagent, you can be part of our mission to make loans and homeownership simpler and safer for all consumers.

Sagent powers servicers and consumers. You power Sagent!

Overview:

We are a leading mortgage servicing, SaaS-based, financial technology company that thrives on innovation and excellence. We are currently seeking an experienced Business Analyst, Senior – Data & Mortgage Servicing to lead the translation of complex mortgage servicing business needs into scalable data and technology solutions. This individual will serve as a strategic liaison between business stakeholders, data engineering teams, solution architects, product management, and software engineering.

The ideal candidate combines deep mortgage servicing expertise with strong technical knowledge of enterprise data warehousing, data modeling, data integration, cloud analytics platforms, and modern data engineering practices, with the ability to engage effectively in technical discussions involving data architecture, ETL/ELT development, APIs, cloud platforms, and modern data ecosystems.

This role will play a critical part in defining business requirements, analyzing complex servicing datasets, supporting enterprise reporting, and enabling data-driven decision-making across the organization.

Your day-to-day at Sagent:

Business Analysis and Research:

  • Conduct in-depth research and data analysis of the business landscape, ensuring a comprehensive understanding of complex requirements.
  • Translate business requirements into detailed user stories, system specifications, data requirements, and technical solutions.
  • Facilitate requirements workshops and collaborate with Product Managers, Architects, Data Engineers, and Software Engineers.
  • Conduct business process analysis, workflow optimization, root cause analysis, and impact assessments.

Data Analysis and Data Engineering Enablement:

  • Lead data mapping efforts for system conversions, ensuring accurate translation between source and target systems.
  • Analyze source and target data models, identifying data gaps and defining transformation logic.
  • Work closely with stakeholders to validate mappings, perform data cleansing, and support user acceptance testing.
  • Evaluate analytical solutions and recommend improvements to reporting architecture and data accessibility.
  • Provide guidance regarding servicing workflows, business rules, operational impacts, and regulatory considerations associated with technology and data initiatives.

Cross-Functional Collaboration:

  • Collaborate effectively at all levels and across departments, fostering cross-functional cooperation and communication.
  • Serve as a liaison between business stakeholders, data engineering teams, solution architects, product management, and software engineering to ensure data accuracy, integrity, and security.

We would love to hear from you if you have:

  • Bachelor’s degree in Business, Computer Science, or relevant discipline with 4 - 6 years of experience in a related field. Experience will be considered in lieu of a degree.
  • Background in mortgage servicing or financial technology.
  • Proven experience in business systems analysis, with direct exposure to data mapping and/or system conversion projects.
  • Excellent analytical and problem-solving skills.
  • Excellent communication skills and the ability to collaborate effectively in a cross-functional team environment.
  • Strong presentation abilities.
  • Proficiency in evaluating new applications and identifying systems requirements.
  • Proficiency in impact analysis, ensuring alignment of new features with strategic business objectives.
  • Track record of driving the design and implementation of new features to enhance product functionality.

Additional Skills/Technical Knowledge Preferred:

  • Knowledge of a mortgage servicer’s typical technology ecosystem including servicing systems, default systems, workflow management, document repositories, ancillary systems, vendor integrations, data integrations, and data warehouses.
  • Experience with SQL and Python for querying, data profiling, and validation.
  • Experience supporting enterprise data warehouse initiatives.
  • Experience working within cloud-native environments.
  • Experience with analytics and reporting platforms such as Power BI, Tableau, or Looker.
  • Hands-on experience with Databricks, Dataproc, Spark, or similar big-data technologies.
  • Understanding of enterprise architecture patterns and distributed systems.
  • Experience supporting Agile software development teams.

#LI-REMOTE

#LI-AN1

Perks!

As a Sagent Associate, you will be eligible to participate in our benefit programs beginning on Day #1!  We offer a comprehensive package including Remote/Hybrid workplace options, Health Benefits, Unlimited Flexible Time Off, Family Planning Services, Tuition Reimbursement, Paid Family Leave, 401(k) Matching, Pet Insurance, In-person and Virtual Social Experiences, Career Pathing, Focus Time Fridays and much, much more!

Why Sagent?

Sagent is transforming the mortgage servicing industry by bringing the modern experience customers now expect from loan originations to loan servicing. Our platform lets customers manage their home-owing lives from anywhere while giving servicers lower costs, scale compliance and higher servicing values through full market cycles.

Sagent is a joint venture that combines Fiserv Inc.’s decades of market-leading fintech expertise with Warburg Pincus’ skill in growing technology companies. We hire innovators and doers to disrupt the last and most complex frontier of lending and housing. We’re growing fast and need you to help shape our future.

Sagent is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Read the full description
Data Analytics Data Science Manager (Credit) at Moniepoint Group

Develops, tests, and productionizes attribution and marketing mix models using machine learning to optimize marketing budgets and drive business growth.

Senior Posted about 13 hours ago RemoteFirstJobs Product
What this role involves

Moniepoint is an all-in-one digital financial services platform for businesses in emerging markets. Since 2019, Moniepoint’s technology has powered over a million businesses, offering all the payment, banking, credit, and business management tools they need to succeed.

Moniepoint Inc through its subsidiaries in Nigeria Moniepoint MFB, and TeamApt Ltd, currently processes the majority of the POS transactions in Nigeria, processing over $170 billion in annualized TPV. It is Africa’s second-fastest growing fintech, is profitable and was recognized by the CBN as the most inclusive payment platform in the country in 2022.

YOUR OPPORTUNITY AND MISSION

We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint’s business growth and the Data Scientist joining will have the opportunity to build and own the most important models including our attribution and marketing mix models

  • Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
  • Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling and multichannel attribution and testing
  • Design experiments and interpret the results to draw detailed and actionable conclusions
  • Work in cross-functional teams across disciplines such as product, engineering and business.
  • Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency

YOU HAVE

  • 5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
  • Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
  • Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
  • Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
  • Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
  • Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
  • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
  • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
  • Excellent spoken and written English
Read the full description
Data Analytics Senior Business Process Analyst – Electronic Health Records

Analyzes and optimizes business processes for electronic health record systems, using data and project management to improve operational efficiency.

Senior Posted about 16 hours ago Jobicy AI
What this role involves
Type of Requisition:RegularClearance Level Must Currently Possess:NoneClearance Level Must Be Able to Obtain:NonePublic Trust/Other Required:SSBI (T5)Job Family:Process and Operational EfficiencyJob Qualifications:Skills:Electronic Health Record (EHR) Implementations, Microsoft Office, Project Management, Standard...
Read the full description
Data Analytics Senior Insights Analyst, Station Analytics at NPR

Leads analytics service for NPR member stations, develops audience insights, conducts training webinars, and partners with stations to maximize data product value.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR . This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Intro to Position

Join us to lead the development and launch of the new station analytics service for NPR’s Member stations. As a Senior Insights Analyst, Station Analytics, you will build insights programming and cultivate deep, consultative partnerships with stations across the Network. You will equip stations with the strategic data and expertise needed to engage digital audiences, while serving as an advocate at NPR for our station partners and local audiences.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU.

Responsibilities

  • Lead and own the station-facing insights service
  • Develop expertise on station audiences and become a subject-matter-expert on station audiences and the analytics needs of stations
  • Conduct monthly webinars for stations to provide analysis on Network-wide trends, emerging audience insights, trainings on data usage, and best practices
  • Create and manage monthly newsletter for stations to provide top-level Network-wide trends as context for station-level trends
  • Thoroughly learn, use and understand NPR’s line of analytics software products and  services, including data tracking of station platforms, datasets, and dashboards
  • Build and sustain collaborative and consultative relationships with stations, including with station executives
  • Oversee compliance with data collection processes and standards for station digital platforms to ensure data consistency; troubleshoot tracking implementation with stations
  • Support stations to maximize the value of NPR’s products and services by maintaining productive relationships and handling questions and issues with professionalism and speed
  • Serve as station ambassador, communicating with NPR staff on station needs to inform roadmaps, services, and research; proactively identify areas to integrate NPR and station initiatives
  • Identify and compile internal research that will help inform stations grow and engage their audiences
  • Write and keep up-to-date guides, documentation, and other training materials for stations and NPR staff
  • Keep a pulse on and use industry knowledge to contextualize insights and identify emerging trends
  • Partner and collaborate within Audience Insights and with cross-functional teams focused on station technical infrastructure, collaborative journalism, and station technical support

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skills and Experience

  • 3+ years of experience in website/app analytics or other audience behavioral data
  • 1+ years experience providing direct support to customers, clients, or external stakeholders, with the ability to create strong consultative partnerships
  • Strong public speaking skills, with the ability to and comfort with presenting to large audiences and navigating live Q&A
  • Proven expertise and deep experience with Google Analytics (or similar)
  • Proven expertise in advanced SQL (e.g., window functions, complex joins, query optimization, and data transformation)
  • Advanced Excel/Google Sheets proficiency, including pivot tables, complex formulas, data manipulation, and visualization for ad-hoc analysis and reporting
  • Demonstrated experience and comfort working with large datasets, with the ability to develop expertise in new and proprietary datasets
  • Excellent oral, written, and visual communication skills, particularly for explaining complex quantitative information to non-technical audiences
  • Experience training non-technical audiences on using analytics tools and dashboards to incorporate data into their daily decision-making processes — making analytics actionable
  • Self-starter with the ability to work independently as well as in a collaborative team environment

Preferred Skills and Experience

  • Experience working in a news or media organization
  • Experience developing programming or training series tailored to audiences with varying levels of technical expertise and roles
  • Applied knowledge of SEO, 3rd party platform algorithms, and other external impacts on news content distribution strategies
  • Experience managing tracking systems with Google Tag Manager (or similar)
  • Experience manipulating and cleaning data with R or Python

Work Location & Requirements

  • NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or Š a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

  • This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $105,435.13 to $116,380.66 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Pay Range

$105,435.13—$116,380.66 USD

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

Read the full description
Data Analytics Senior Insights Analyst, Station Analytics at NPR

Leads analytics service for NPR member stations, develops audience insights, conducts training webinars, and builds consultative partnerships to help stations leverage data for digital engagement.

Senior Posted 1 day ago RemoteFirstJobs Product
What this role involves

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR . This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Intro to Position

Join us to lead the development and launch of the new station analytics service for NPR’s Member stations. As a Senior Insights Analyst, Station Analytics, you will build insights programming and cultivate deep, consultative partnerships with stations across the Network. You will equip stations with the strategic data and expertise needed to engage digital audiences, while serving as an advocate at NPR for our station partners and local audiences.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU.

Responsibilities

  • Lead and own the station-facing insights service
  • Develop expertise on station audiences and become a subject-matter-expert on station audiences and the analytics needs of stations
  • Conduct monthly webinars for stations to provide analysis on Network-wide trends, emerging audience insights, trainings on data usage, and best practices
  • Create and manage monthly newsletter for stations to provide top-level Network-wide trends as context for station-level trends
  • Thoroughly learn, use and understand NPR’s line of analytics software products and  services, including data tracking of station platforms, datasets, and dashboards
  • Build and sustain collaborative and consultative relationships with stations, including with station executives
  • Oversee compliance with data collection processes and standards for station digital platforms to ensure data consistency; troubleshoot tracking implementation with stations
  • Support stations to maximize the value of NPR’s products and services by maintaining productive relationships and handling questions and issues with professionalism and speed
  • Serve as station ambassador, communicating with NPR staff on station needs to inform roadmaps, services, and research; proactively identify areas to integrate NPR and station initiatives
  • Identify and compile internal research that will help inform stations grow and engage their audiences
  • Write and keep up-to-date guides, documentation, and other training materials for stations and NPR staff
  • Keep a pulse on and use industry knowledge to contextualize insights and identify emerging trends
  • Partner and collaborate within Audience Insights and with cross-functional teams focused on station technical infrastructure, collaborative journalism, and station technical support

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skills and Experience

  • 3+ years of experience in website/app analytics or other audience behavioral data
  • 1+ years experience providing direct support to customers, clients, or external stakeholders, with the ability to create strong consultative partnerships
  • Strong public speaking skills, with the ability to and comfort with presenting to large audiences and navigating live Q&A
  • Proven expertise and deep experience with Google Analytics (or similar)
  • Proven expertise in advanced SQL (e.g., window functions, complex joins, query optimization, and data transformation)
  • Advanced Excel/Google Sheets proficiency, including pivot tables, complex formulas, data manipulation, and visualization for ad-hoc analysis and reporting
  • Demonstrated experience and comfort working with large datasets, with the ability to develop expertise in new and proprietary datasets
  • Excellent oral, written, and visual communication skills, particularly for explaining complex quantitative information to non-technical audiences
  • Experience training non-technical audiences on using analytics tools and dashboards to incorporate data into their daily decision-making processes — making analytics actionable
  • Self-starter with the ability to work independently as well as in a collaborative team environment

Preferred Skills and Experience

  • Experience working in a news or media organization
  • Experience developing programming or training series tailored to audiences with varying levels of technical expertise and roles
  • Applied knowledge of SEO, 3rd party platform algorithms, and other external impacts on news content distribution strategies
  • Experience managing tracking systems with Google Tag Manager (or similar)
  • Experience manipulating and cleaning data with R or Python

Work Location & Requirements

  • NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or Š a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

  • This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $105,435.13 to $116,380.66 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Pay Range

$105,435.13—$116,380.66 USD

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

Read the full description
Data Analytics Senior Analytics Engineer at HubSpot

Designs and builds modern data pipelines, semantic models, and analytical tools using dbt, SQL, and cloud data platforms to support analytics and ML products across the organization.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

POS-19091

Senior Analytics Engineer, Data & AI Foundations

HubSpot’s mission is to Help Millions of Organizations Grow Better. HubSpot’s Operations team is core to this goal by supporting the HubSpotters who drive growth and serve HubSpot’s customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across HubSpot. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape.

In this role, you’ll join the Data & AI Foundations team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that change the way we make decisions across Operations at HubSpot. You’ll bring a strong interest in building flexible, reusable architecture for our highest-value data assets, while growing your expertise across the tools and practices that define modern analytics engineering.

In this role, you’ll get to:

  • Build and optimize data pipelines and analytical tools for scale
  • Collaborate with both technical and non-technical areas of the business, bridging the gap between business problems and technical solutions
  • Contribute to core data assets that power equitable book of business assignments for sales reps across the organization
  • Build and maintain semantic models that support analytics and AI consumption across the organization
  • Build out scalable data models to analyze key parts of the HubSpot business
  • Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
  • Support data observability and pipeline reliability using tools like Monte Carlo
  • Build analytical applications in Hex to support stakeholder enablement
  • Gather requirements with internal stakeholders and contribute to working groups across the project lifecycle
  • Document data pipelines, processes, and best practices thoroughly and consistently
  • Contribute to shared analytics best practices across HubSpot’s broader data community

We are looking for someone with:

  • Working knowledge of modern data tools (such as Snowflake, dbt, and Looker)
  • Proficiency in SQL, data modeling, ETL, ELT, and data transformation
  • Hands-on dbt experience including modeling patterns, macros, and testing
  • Experience developing slowly changing dimension (SCD) tables from multiple sources
  • Comfort working through inherited complexity, including reverse engineering existing models, pipelines, or reporting logic
  • Effective communication across multiple modes (video, wikis, decks, guided exercises) and a knack for choosing the best format for the task and audience at hand
  • Experience writing and reviewing end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies
  • Experience contributing to cross-functional data initiatives from requirements through production
  • Familiarity with semantic models or metric layers for analytics consumption
  • Comfort with AI-assisted development tools such as Claude Code to accelerate and improve delivery
  • Experience utilizing version control tools (such as GitHub Enterprise Cloud)
  • A collaborative mindset with strong attention to detail and a focus on quality
  • Clear communication skills and ability to translate technical concepts into business terms
  • Experience with Python is a plus, but not required

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are tailored to your skills, experience, qualifications, and other job-related reasons.

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.

Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices aren’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

Annual Cash Compensation Range:

$136,000—$204,000 USD

We know the confidence gap and impostor syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Germany Applicants: (m/f/d) - link to HubSpot’s Career Diversity page here.

India Applicants: link to HubSpot India’s equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot’s connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

Explore more:

  • HubSpot Careers
  • Life at HubSpot on Instagram

HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot’s Recruiting Privacy Notice for details on data processing and your rights.

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Data Analytics Sr Data Analyst at PatientPointÂŽ

Senior Data Analyst analyzes complex healthcare datasets, creates Looker visualizations, and provides actionable insights to drive business decisions across the organization.

Senior Remote Posted 3 days ago RemoteFirstJobs Product
What this role involves

Join PatientPoint to be part of a dynamic team creating change in and around the doctor’s office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide.

Location: Remote

Travel Required: 2-5 Weeks Per Year

We are seeking a highly skilled Senior Data Analyst to join our team and drive data-driven decision-making across the organization. The ideal candidate will have a strong analytical mindset, expertise in data visualization, and the ability to transform complex data sets into meaningful insights. As a Senior Data Analyst, you will collaborate with cross-functional teams to optimize business strategies, improve processes, and enhance overall performance through data analysis.

What You’ll Do

  • Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
  • Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually.
  • Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis.
  • Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization.
  • Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources.
  • Utilize advanced statistical techniques and leverage machine learning models to solve business challenges.
  • Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes.
  • Mentor and guide junior analysts, fostering a data-driven culture within the organization.
  • Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence.
  • Quickly familiarize yourself with new datasets and efficiently provide valuable insights.

What We Need

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
  • 5+ years of experience in analytics, data management, business intelligence or a related field
  • Experience working with healthcare claims data, including medical or pharmacy claims
  • Proficiency in SQL for querying and managing large datasets.
  • Experience with data visualization tools such as Looker, Tableau, or Power BI.
  • Strong understanding of data modeling, statistical analysis and data visualization
  • Proficiency in programming languages such as Python (preferred) or R for data analysis and automation.
  • Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)

Desired Qualifications

  • Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field
  • Familiarity with standard claims formats and common data elements such as diagnosis codes and procedure codes

What You’ll Need to Succeed

  • Excellent communication and presentation skills, with the ability to convey complex data concepts to non-technical stakeholders.
  • Strong ability to translate analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners
  • Strong problem-solving skills and a results-driven approach.
  • Excellent time management skills and keen attention to detail.

Base Salary Band: $73,539 - $136,065

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

#LI-ED1 #LI-Remote

About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at patientpoint.com.

Latest News & Innovations:

  1. Why is PatientPoint a Best Place to Work! Read More
  2. Teammate Honored as “Top Woman in Tech”. Read More
  3. Recognized on Vault’s Top Internship List. Read More

What We Offer:

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.

PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy, we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

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Data Analytics Sr. Analytics Engineer (Remote) at Rula

Design and optimize dbt data pipelines and SQL schemas, partner cross-functionally to build production-grade data models, and mentor junior engineers on a high-velocity analytics team.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

We believe that mental health is just as important as physical health. We recognize that mental health issues can be complex and multifaceted, and we are dedicated to treating the whole person, not just the symptoms.

We aim to create a world where mental health is no longer stigmatized or marginalized, but rather is embraced as an integral part of one’s overall well-being.

We believe that by providing quality care that is both evidence-based and compassionate, we can empower individuals to take charge of their mental health and achieve their full potential. We are passionate about making a positive impact on the lives of those struggling with mental health issues and we strive to be a force for positive change in the field of mental healthcare.

Rula is a remote-first company. We currently hire in most U.S. states, with the exception of Hawaii.

About the Role

We are hiring a Senior Analytics Engineer to join our unified, high-velocity Analytics Engineering pod. In this role you will partner with a talented team of engineers to co-own, scale, and optimize the “Transform” layer of our data ecosystem across modern data platforms.

This is a core technical engineering role. You will balance deep code execution in SQL and dbt with strong cross-functional stewardship, translating complex business processes into trusted, production-grade data models. The ideal candidate will bring a strategic mindset, excellent code hygiene, and the professional backbone required to manage competing technical priorities while navigating highly regulated data systems.

What You’ll Do

  • Data Modeling & Architecture: Design, build, and optimize modular dbt pipelines and performant technical schemas, setting the team standard for version control, unit testing, and velocity.

  • Cross-Functional Translation: Act as a critical technical bridge between Analytics, Operations, and Data Engineering to transform ambiguous product requirements into robust data assets.

  • Platform Optimization: Diagnose performance bottlenecks to slash query latencies and lower warehouse compute costs across our modern data platforms, specifically aiding our strategic migration toward Snowflake.

  • Team Stewardship: Elevate the entire pod’s engineering culture by participating in rigorous peer code reviews, refactoring legacy technical debt, and enforcing strict data security standards up to the point of delivery.

  • Culture Multiplier: Actively mentor and pair with junior peers to unblock complex bugs, optimize engineering workflows, and natively adopt AI-assisted development tools to accelerate test generation and legacy code discovery.

Required Qualifications

  • 4+ years of professional experience in analytics engineering, data engineering, or highly technical data analytics roles.

  • Expert-level SQL proficiency and deep data modeling experience, with a proven ability to write performant queries and understand the architectural trade-offs of database design decisions.

  • 2+ years of dedicated, hands-on experience building, deploying, and maintaining modular data pipelines using dbt in a production environment.

  • Proven experience designing schemas and optimizing query performance on modern cloud data platforms (such as Snowflake, Redshift, or BigQuery).

  • Absolute comfort with production git workflows (branching, merging, pull request reviews) and automated data quality testing practices.

  • Experience working in a cross-functional role partnering directly with analytics, operations, or business teams, where strong requirement-gathering and the ability to translate complex data structures into clear documentation are crucial.

Preferred Qualifications

While having the preferred qualifications enhances your candidacy, having all of them is not mandatory. We encourage all interested applicants to apply, even those who may not meet every preferred requirement.

  • Prior experience working with HIPAA-compliant data environments, electronic health records (EHR), digital health operations, or similar highly regulated industries.

  • Hands-on experience or deep familiarity with Snowflake architectures and running data migrations to Snowflake environments.

  • Active experience leveraging AI-assisted development tools (like GitHub Copilot, ChatGPT, Cursor, or Claude Code) to accelerate code generation, decipher legacy warehouse logic, and draft robust dbt test suites.

  • Experience with Fivetran or modern ingestion tools to deeply understand upstream data structures and better collaborate with the core data engineering pod.

  • A proactive approach to data quality, testing, and alert frameworks (such as dbt test packages) and building practical alerting workflows rather than just waiting for stakeholders to report broken data.

  • Experience managing changing business processes or schema drift when underlying logic or systems pivot unexpectedly.

  • Basic Python proficiency providing an extra layer of technical agility when collaborating on advanced pipeline orchestration or tooling.

We’re serious about your well-being! As part of our team, full-time employees receive:

  • 100% remote work environment: Working hours to support a healthy work-life balance, ensuring you can meet both professional and personal commitments (must be based in United States, currently not hiring in Hawaii)

  • Attractive pay and benefits: Full transparency of pay ranges regardless of where you live in the United States

  • Comprehensive health benefits: Medical, dental, vision, life, disability, and FSA/HSA

  • 401(k) plan access: Start saving for your future

  • Generous time-off policies: Including 2 company-wide shutdown weeks each year for self-care (for most employees)

  • Paid parental leave: Available for all parents, including birthing, non-birthing, adopting, and fostering

  • Employee Assistance Program (EAP): Supporting your mental and physical health

  • Quarterly department stipend: Fun team-building activities or in-person gatherings

  • Community and employee resource groups: Participate in groups that celebrate employee identity and lived experiences, fostering a sense of community and belonging for all

  • Home office stipend: New hire home office stipend & $50 monthly stipend to help cover internet or cell phone expenses

  • Wellness at Rula program: Year-round wellness initiatives and a $50/month wellness stipend

Our team

We believe that diversity, equity, and inclusion are fundamental to our mission of making mental healthcare work for everyone.  We are dedicated to having a culture of inclusion that will support our employees in feeling safe, seen, heard, and valued.

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Data Analytics Senior Data Analyst - Marketing Analytics & Digital Insights (Remote) at Vericast

Senior Data Analyst transforms marketing and digital data into strategic insights using attribution modeling, A/B testing, and dashboards to optimize campaigns and ROI for financial institutions.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Company Description

Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.

Job Description

We are seeking an experienced Senior Data Analyst to join our Insights and Analytics team, where you will transform complex data into strategic insights that drive marketing effectiveness and business growth for financial institutions. This role combines analytical excellence with business acumen to optimize marketing investments, enhance digital customer experiences, and inform data-driven decision-making across the organization. As a key member of our team, you’ll work at the intersection of marketing science, digital analytics, and financial services expertise, delivering actionable insights that directly impact campaign performance, customer engagement, and ROI optimization.

KEY DUTIES/RESPONSIBILITIES

 Strategic Analysis & Insights: Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities; Design measurement frameworks and learning agendas that align with business strategies and marketing objectives; Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels; Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions (30%)

 Digital & Marketing Analytics: Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities; Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels; Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences; Leverage tag management systems to ensure accurate data capture and tracking implementation (30%)

 Data Visualization & Communication: Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker; Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams; Present strategic recommendations that drive action and influence stakeholder decisions; Create automated reporting solutions providing real-time visibility into marketing performance and KPIs (20%)

 Collaboration & Project Management: Partner with cross-functional teams including Product,

Engineering and Strategy to deliver integrated insights; Manage multiple concurrent analytical

projects ensuring timely, high-quality delivery; Collaborate with teams to improve digital customer

journeys and campaign effectiveness based on data insights (20%)

Qualifications

EDUCATION

 Bachelor’s degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field

 Master’s degree preferred

EXPERIENCE

 5-9 years of progressive experience in data analysis, marketing analytics, or advanced analytics roles

 Proven experience in financial services industry or working with financial institutions strongly preferred

 Track record of delivering impactful insights that influenced strategic business decisions

KNOWLEDGE/SKILLS/ABILITIES

 Analytics Platforms: Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms

 Programming & Analysis: Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation

 Data Visualization: Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards

 Database Technologies: Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred

 Marketing Technology: Familiarity with marketing automation platforms, CRM systems, and tag management implementation

Additional Information

Base salary: $110,000-$140,000

*Applications will be accepted through August 17, 2026, after which the posting will be closed and no longer available for submissions.*

The ultimate compensation offered for the position will depend upon several factors such as skill level, cost of living, experience, and responsibilities.

At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As an Equal Opportunity employer, Vericast considers applicants for all positions without regard to race, color, creed, religion, national origin or ancestry, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at [email protected]. EEO is the law. To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf.

#LI-KK1 #LI-REMOTE

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Data Analytics BI Engineer (Contract) at Tech Holding

Senior BI Engineer designs and builds executive dashboards, semantic data models, and self-service analytics platforms on AWS QuickSight while migrating legacy reporting systems.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

About us:

Working at Tech Holding isn’t just a job, it’s an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

About the Role

We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.

The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.

Location: Remote

Experience Required: 5+ Years

Employment Type: Contract

Key Responsibilities

  • Design and build executive dashboards covering key business, operational, and performance metrics.
  • Develop longitudinal cohort analysis and self-service analytics capabilities for business stakeholders.
  • Build and optimize Amazon QuickSight semantic datasets, including SPICE capacity, refresh, and performance tuning.
  • Migrate prioritized Power BI dashboards and reports to Amazon QuickSight.
  • Partner with data engineering to define semantic layers, canonical data models, and standardized enterprise KPI definitions across multiple business units.
  • Contribute to the enterprise business glossary, data dictionary, and KPI catalog, ensuring consistent business definitions across all reporting.
  • Support natural language and conversational analytics experiences, enabling business users to query metrics in plain language.
  • Configure knowledge repositories that leverage the business glossary, KPI catalog, and semantic definitions for AI-assisted data exploration.
  • Conduct dashboard validation, user feedback sessions, and iterative refinement with business stakeholders.
  • Establish reporting standards, row-level security, and governance for dashboards and datasets.
  • Participate in UAT, production deployments, knowledge transfer, and post-production support.

Required Skills & Qualifications

  • 5+ years of experience in Business Intelligence, analytics engineering, or a closely related field.
  • Strong hands-on expertise with Amazon QuickSight (datasets, SPICE, calculated fields, parameters, RLS, dashboard design).
  • Proven experience migrating from Power BI to QuickSight (or comparable BI-to-BI migrations).
  • Strong SQL skills, including complex queries, window functions, and performance tuning.
  • Solid understanding of dimensional data modeling, semantic layers, and star/snowflake schemas.
  • Experience defining and standardizing enterprise KPIs, business glossaries, and data dictionaries.
  • Working knowledge of the AWS analytics stack, including Amazon Redshift, Amazon Athena, and Amazon S3 as reporting sources.
  • Experience building self-service analytics environments and enabling non-technical business users.
  • Strong data storytelling and dashboard UX skills; ability to translate ambiguous business needs into clear, actionable visuals.
  • Familiarity with Git, CI/CD, and version-controlled BI development practices.
  • Excellent analytical, troubleshooting, stakeholder-management, and communication skills.

Preferred Qualifications

  • Familiarity with Amazon Bedrock, natural language / conversational analytics, or LLM-assisted BI.
  • Experience with Power BI (DAX, Power Query) for migration analysis.
  • Knowledge of AWS Lake Formation, AWS Glue Data Catalog, and metadata/lineage tooling.
  • Exposure to predictive analytics outputs and visualizing model results.
  • AWS Certification (Data Engineer, Data Analytics Specialty, or Solutions Architect) is a plus.

Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR

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Data Analytics Senior Data Scientist, Innovation Lab

Senior Data Scientist develops and deploys machine learning models and data solutions to drive innovation across Experian's business operations.

Senior Posted 4 days ago Jobicy AI
What this role involves
Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare,...
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Data Analytics Senior Data Scientist, Innovation Lab

Develops data models, analyzes complex datasets, and builds predictive analytics solutions to drive business innovation.

Senior Posted 4 days ago Jobicy AI
What this role involves
Company DescriptionExperian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare,...
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Data Analytics Senior Data Scientist (m/f/x) at KONUX

Senior Data Scientist develops ML models and data insights for railway IoT systems, from problem definition through production deployment.

Senior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About Us:

KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team.

Job Description:

We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what’s possible and driving innovation forward. If you’re a go-getter who’s not afraid to think outside the box, we want to hear from you. You’ll be a key driver of our culture, helping to ensure that our values are embedded in everything we do.

Your Impact:

  • Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets
  • Design and implement solutions - from understanding customer challenges to releasing models to production
  • Deploy well-tested, maintainable solutions into live systems
  • Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle
  • Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact
  • Drive innovation and help you and your colleagues improve and grow

To be successful in this role, you’ll need to have:

  • A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models
  • Fluency in Python and ideally experience with an additional programming language
  • Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL
  • Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings
  • Familiarity with version control (Git) and common software engineering best-practices
  • A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment

It’s a plus (but not a requirement) if you have:

Experience applying digital signal processing (DSP) techniques to extract features and insights, for example from sensor or time-series data

  • Understanding of model monitoring techniques, software testing, and CI/CD workflows
  • Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.)
  • Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan
  • Experience with AWS and Databricks

Why Join Us:

💸 Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience)

📉 Equity (all permanent KONUX employees have equity!)

📖 Dedicated Learning & Development budget of 3.600€ p.a.

🏠 Comprehensive relocation support if this opportunity at KONUX requires you to move

👨‍💻 Hybrid working model: Meet your colleagues in the office minimum 2 days per week

🏢 Modern workspace with a cool rooftop with a mountain view

💻 Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop

❤️‍🩹 Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license

🍒Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday

👴 Company pension scheme

🙌 Access to Corporate Benefits and Future Bens

🌴 27 vacation days (+1 day on every work anniversary for 3 years)

💁 Volunteering activities (2 additional days off)

🍻 Company and team events

🐶 We are a pet-friendly company, so your four-legged friend can join you in the office!

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Data Analytics Senior Data Scientist, Revenue Analytics at Extend

Leads cross-functional revenue analytics initiatives using data science, statistical modeling, and AI to identify growth opportunities and optimize company revenue across the entire customer funnel.

Senior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About Extend:

Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions that enhance customer satisfaction and drive revenue growth. Our comprehensive platform offers automated customer service handling, seamless returns/exchange management, end-to-end automated fulfillment, and product protection and shipping protection alongside Extend’s best-in-class fraud detection. By integrating leading-edge technology with exceptional customer service, Extend empowers businesses to build trust and loyalty among consumers while reducing costs and increasing profits.

Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.

About the Role:

The Revenue Analytics team is focused on developing strategic recommendations grounded in data to scale, drive, and recover revenue. We are experts at synthesizing different contexts from Sales, Growth, Product, Engineering, and Risk to identify growth and expansion opportunities that directly drive the company’s bottom line. If you have a passion for breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.

What You Will Be Doing:

  • Cross-functional Champion: Independently lead cross-functional teams through ambiguous questions to influence and implement revenue driving initiatives and recommendations.
  • Revenue Optimization: Own and identify innovative new strategies to maximize revenue and enhance client acquisition throughout the entire revenue waterfall.
  • Data-driven Insights: Lead the charge in improving our quantitative analysis techniques (simulation models, A/B testing, causal impact analysis, etc.) to better influence audiences on strategic direction, with opportunities to present these insights to leadership on a regular basis.
  • Data Infrastructure: Own, refine, and improve existing data pipelines to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
  • Role Model: Set the standard for the team in terms of analytical thinking and excellence.
  • AI for Change: Embed AI into the Revenue Analytics workflow, raising the floor on what the team can produce. You’ll have latitude to experiment and the expectation that you will.

What We’re Looking For:

  • 5+ years experience in data science and/or consulting with strong emphasis on breaking down business problems into data driven impact.
  • Standout written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
  • Expert knowledge of SQL, Python, A/B testing, and Github
  • Excited and passionate about the new AI tools (Claude, Gemini, etc.) and eager to learn how that can help improve our day-to-day efficiency
  • Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
  • Empathetic, humble, and collaborative team player
  • Advanced degree in data science, analytics, economics, statistics or similar quantitative field
  • Candidates must be located within the continental United States

Expected Pay Range: $125,000 - $135,000 per year salaried*

\* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.

Life at Extend:

  • Working with a great team from diverse backgrounds in a collaborative and supportive environment.
  • Competitive salary based on experience, with full medical and dental & vision benefits.
  • Stock in an early-stage startup growing quickly.
  • Generous, flexible paid time off policy.
  • 401(k) with Financial Guidance from Morgan Stanley.

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Data Analytics Senior Data Scientist (m/f/x) at KONUX

Senior Data Scientist develops ML models and data insights for railway IoT systems, from prototyping through production deployment.

Senior Posted 5 days ago RemoteFirstJobs Product
What this role involves

About Us:

KONUX is a dynamic and fast-growing technology company that is transforming the way the railway industry works. Our AI-powered solutions empower our customers to make smarter, data-driven decisions, and our culture is fueled by grit, ingenuity, and credibility - we believe that these values are essential to unlocking the potential of technology and making a real impact. At KONUX, we are passionate about driving innovation in the fields of IoT and AI, and we are looking for like-minded individuals to join our team.

Job Description:

We are seeking a Senior Data Scientist (f/m/x) to join our team of innovators. In this role, you will be at the forefront of developing groundbreaking solutions that solve real-world problems. You will work alongside a team of experts who are committed to pushing the boundaries of what’s possible and driving innovation forward. If you’re a go-getter who’s not afraid to think outside the box, we want to hear from you. You’ll be a key driver of our culture, helping to ensure that our values are embedded in everything we do.

Your Impact:

  • Develop insights using a wide range of data sources, including IIoT sensor data and other railway domain datasets
  • Design and implement solutions - from understanding customer challenges to releasing models to production
  • Deploy well-tested, maintainable solutions into live systems
  • Develop tools and infrastructure for sensor data analysis that integrate smoothly into our end-to-end software engineering lifecycle
  • Collaborate closely with engineers, product managers, and domain experts to translate business needs into technical impact
  • Drive innovation and help you and your colleagues improve and grow

To be successful in this role, you’ll need to have:

  • A degree in Mathematics, Statistics, Computer Science, Engineering, or a related field with 5+ years of hands-on experience in data science, having built and tested statistical or ML models
  • Fluency in Python and ideally experience with an additional programming language
  • Past experience working with dataframe-centric data manipulation tools such as pandas, PySpark, Polars and SQL
  • Past experience owning complex data science problems independently, having developed models for production systems, beyond pure academic or research settings
  • Familiarity with version control (Git) and common software engineering best-practices
  • A proactive, impact-driven attitude and the ability to thrive in a fast-paced, collaborative environment

It’s a plus (but not a requirement) if you have:

Experience applying digital signal processing (DSP) techniques to extract features and insights, for example from sensor or time-series data

  • Understanding of model monitoring techniques, software testing, and CI/CD workflows
  • Worked with and trained models using diverse types of data (e.g. time-series, tabular, event logs, images, sensor data etc.)
  • Experience with state-space and survival modeling, and familiarity with statistical packages such as statsmodels, PyMC, or Stan
  • Experience with AWS and Databricks

Why Join Us:

💸 Competitive salary (85.000 - 100.000 EUR p.a. depending on seniority/exoerience)

📉 Equity (all permanent KONUX employees have equity!)

📖 Dedicated Learning & Development budget of 3.600€ p.a.

🏠 Comprehensive relocation support if this opportunity at KONUX requires you to move

👨‍💻 Hybrid working model: Meet your colleagues in the office minimum 2 days per week

🏢 Modern workspace with a cool rooftop with a mountain view

💻 Flexible working conditions, home office equipment and free choice between a Windows or Apple laptop

❤️‍🩹 Health benefits supporting your physical and mental well-being, e.g wellpass/gym membership and mental health app license

🍒Fruits, snacks and beverages for energy and our very own Oma cooking in the office every Thursday

👴 Company pension scheme

🙌 Access to Corporate Benefits and Future Bens

🌴 27 vacation days (+1 day on every work anniversary for 3 years)

💁 Volunteering activities (2 additional days off)

🍻 Company and team events

🐶 We are a pet-friendly company, so your four-legged friend can join you in the office!

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Data Analytics Lead Data Scientist, Demand Forecasting at Scout Motors Inc.

Lead Data Scientist builds probabilistic demand forecasting models from limited historical data to power Scout Motors' business planning and inventory decisions.

Senior Posted 6 days ago RemoteFirstJobs Product
What this role involves

Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now!

Role Overview

Scout Motors is building its first enterprise demand forecast - and there’s no sales history to build it on.

As a VW Group–backed EV company in the run-up to launch, Scout has reservations data, an enthusiastic and loyal community, and a product about to enter the market — but not the years of historical sales a demand model usually leans on. That’s the problem this role owns: building a rigorous, probabilistic forecast from the signals that do exist, and growing it into the analytical engine of Scout’s planning system as real demand data arrives.

This is the first dedicated modeling seat in Integrated Business Planning. You’ll develop the demand forecasting model and own the data behind it — then partner with IT and Product Management to productionize it into the digital IBP product Scout is building, so the forecast lives where the business actually plans and decides.

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

  • Build Scout’s first demand forecasting model — probabilistic rather than point-estimate, forecasting unconstrained demand at the grain the business plans on. Convert reservation backlog with explicit probabilities, phase the timing of that conversion, and layer in organic demand as its own signal.
  • Solve the cold-start problem — stand up a credible forecast before there’s sales history, using reservations, configurator and order data, market analogs, and structured priors — then systematically replace assumptions with data as the market gives it to us.
  • Own the demand data end to end — source, define, and steward the data that feeds the forecast; build the pipelines and the feature/data layer; own data quality and the shared definitions everyone downstream depends on.
  • Partner across the business to get the inputs and outputs right — work with the teams that own the signals feeding the forecast and the teams that consume it, so the model is grounded in real inputs and lands in a format the business can actually use.
  • Make the forecast legible — document methodology and assumptions, quantify uncertainty honestly, and explain the model’s logic clearly to non-technical stakeholders in Finance, Commercial, Production, and Procurement.
  • Productionize with IT and Product — partner with engineering to move the model from notebooks into the IBP digital product (pipelines, deployment, monitoring, retraining)
  • Stand up forecast measurement — back-testing, accuracy tracking, and model monitoring, so the forecast improves on a known cadence as post-launch data accumulates and the model is retrained against reality.
  • Lay the foundation for what’s next — build the data and modeling base that Scout’s future AI/ML planning capabilities will extend.

Location & Travel Expectations:

  • This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC.
  • This role requires 4-5 days per week in the office, with regular in-person meetings and events.
  • Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring:

  • 12+ years of applied data science or forecasting, or equivalent experience — you’ve built and shipped statistical or ML models that other people depend on, not just one-off analyses.
  • MS of PhD in a quantitative discipline(statistics, applied math, physics, operations research, economics, or similar), or equivalent applied experience
  • A strong probabilistic and time-series modeling foundation — hierarchical, Bayesian, or other methods suited to granular, sparse, and uncertain demand. You reason in distributions, not just predictions.
  • Fluent in Python and the modern modeling stack, strong SQL, and comfortable owning data end to end — pipelines, quality, and definitions, not just the model that sits on top.
  • Experience forecasting with sparse, new-product, or cold-start data — analogs, priors, judgment-augmented methods — and honest about the limits of each.
  • You’ve put models into production alongside engineering and product; you think about deployment, monitoring, and retraining, not just the notebook.
  • You work fluently with AI coding tools (e.g., Claude Code, Copilot, Cursor) to build, prototype, and ship faster — and have the judgment to know where they help and where they don’t.
  • You translate technical work for non-technical audiences and can defend a forecast to a skeptical, senior, cross-functional room.
  • A high-ownership mindset, comfortable in a fast-moving, build-it-yourself environment where the data and the priorities are still maturing
  • Nice to have: automotive, manufacturing, or other physical-product demand; demand sensing or hierarchical forecasting; ML Ops; experience embedding models inside a digital product.

What you’ll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

  • Competitive insurance including:
    • Medical, dental, vision and income protection plans
  • 401(k) program with:
    • An employer match and immediate vesting
  • Generous Paid Time Off including:
    • 20 days planned PTO, as accrued
    • 40 hours of unplanned PTO and 14 company or floating holidays, annually
    • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
    • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Why This Role Matters

Scout’s entire planning system reconciles demand against supply and this is the seat that builds the demand side of that equation. You’ll own the model and the data from version one, with the rare chance to design them right before launch rather than retrofit them under pressure after. As Integrated Business Planning scales and the planning product matures, the person who built the forecast is positioned to grow into deeper technical and team ownership.

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $160,000.00 - $192,500.00

Internal leveling code: IC7

Notice to applicants:

  • To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
  • Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
  • Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
  • Residing in New York City: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.

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Data Analytics Senior Insights Analyst, Mobile Analytics at NPR

Drives data-informed decisions for NPR's mobile app by analyzing complex datasets, creating visualizations, and managing experimentation insights across product and editorial teams.

Senior Posted 6 days ago RemoteFirstJobs Product
What this role involves

OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we’re building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR . This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Application Deadline: Please submit your application by 11:59 pm EST on Wednesday, July 22nd, 2026

Intro to Position

The Senior Insights Analyst, Mobile Analytics will be critical to building a new, leaner, audience-centric, data-driven app that could serve NPR and partnering stations in multi-modal formats. We will drive a significant increase in weekly audience and known users, and build engaging experiences that deepen daily habits, increase listening hours, and maximize revenue yield.

As the Senior Insights Analyst, Mobile Analytics for the NPR App,  you will drive data-informed decisions for NPR’s new audience-centric app.You will be the main point of contact to formulate, help run, and analyze experimentation done on NPR’s owned and operated platforms.  Your responsibilities also include extracting insights from complex datasets, creating visualizations, and managing cross-functional relationships. As a key member of the Audience Insights team, you’ll work closely with digital product teams, the newsroom, and leaders at NPR and our member stations nationwide. You have a unique blend of thoughtful, data-driven curiosity and pragmatism. You know how to make data come to life and be actionable. And you love the idea of using data to make NPR (and the world) a better place.

Reports to the Audience Insights Senior Manager, Product.

This is a union-represented role covered under the terms of a collective bargaining agreement with NABET-CWA DMU.

Responsibilities

  • Driving critical insights based on analyses for the app product team, including assessing audience behavior, advocating for audience needs on the NPR App, running experiments, and leading relationships with relevant stakeholders
  • Create and own the experimentation process on our owned and operated platforms, partnering closely with teams across the organization to understand and implement results
  • Provide actionable insights and recommendations for a variety of groups across the organization as needed, including foundational trend reporting and presenting insights from deep analyses
  • Independently write, implement quality controls, and train others to write complex SQL queries to provide performance analytics across app, video, and website datasets
  • Share technical expertise with co-workers and teammates to improve work product
  • Work with internal teams on how they can best use data for decision-making and train them to use insights, tools and resources.
  • Prioritize incoming work based on knowledge of departmental and organizational strategy
  • Through deep stakeholder cultivation and understanding of the media environment, anticipate needs and develop research tools and reporting to address current and future business needs
  • Deliver recommendations with a clear connection to business decisions
  • Proactively communicate relevant insights to cultivate a learning culture across the organization.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time.

Required Skill and Qualifications

  • 5+ years demonstrated expertise in SQL and databases. BigQuery/Dataform experience is a plus. Proven expertise fetching and transforming data using SQL and analytics APIs, with proven advanced SQL knowledge, taking raw data and manipulating it for complex cohort, behavioral, and pattern analysis.
  • 5+ years demonstrated expertise in Google Firebase data and app analytics
  • 5+ years demonstrated expertise with GA4 or similar large, raw datasets of digital behavior
  • 5+ years demonstrated experience in Optimizely or comparable tool
  • Ability to independently learn and understand new and complex data sources and integrate them with other data sets to create a complete analysis.
  • Expert proficiency in Excel or Google Sheets, including writing complex formulas, validating data, and automated reporting.
  • Skills in visualizing data, drawing conclusions, and explaining to a business audience, with the ability to flex style, depth, and complexity based on the audience.
  • Excellent analysis and experimental design skills with a keen sense for data gaps and inconsistencies, and experience owning data-driven research from project inception to completion.
  • Ability to assess organizational needs and prioritize requests based on the largest impact on the business.
  • Proactive client and stakeholder communication, building trust and nurturing relationships to grow the culture of using audience insights.
  • Deep domain knowledge, researching and following experts in the field to sustain and grow expertise.
  • Excellent oral, written and visual communication skills, particularly at explaining complex quantitative information to non-technical audiences.
  • Self-starter with the ability to work independently in a constantly changing environment with little supervision, as well as in a collaborative team environment..
  • Eagerness to train other team members on technical skills and collaborate with them on creating a data-driven strategy, and to contribute to team culture, providing input on standards, stakeholder management, team resources, etc.

Preferred Qualifications

  • Experience in news media
  • Proven experience in analyzing data and building statistical models using R or Python.
  • Proven experience in identifying complex analytical issues problems that require cross-functional collaboration and building partnerships to solve them
  • Proven experience bringing teams together to solve complex problems

Work Location & Requirements

  • NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or Š a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position.

Job Type

  • This is a full-time, exempt position.

Compensation

Salary Range: The U.S.-based anticipated salary range for this opportunity is $105,435.13 to $116,380.66 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR’s benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

#LI-REMOTE

The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR Pay Range

$105,435.13—$116,380.66 USD

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR’s privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.

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Data Analytics Data Scientist Senior

Senior data scientist builds AI/ML solutions that transform client data into actionable insights and business outcomes.

Senior Posted 6 days ago Himalayas
What this role involves
Type of Requisition:RegularClearance Level Must Currently Possess: NoneClearance Level Must Be Able to Obtain: NonePublic Trust/Other Required:BI Full 6C (T4)Job Family: Data Science and Data EngineeringJob Qualifications:Skills:Artificial Intelligence (AI), Data Engineering, DesignCertifications:NoneExperience:5 + years of related experienceUS Citizenship Required:NoJob Description: Build the AI/ML solutions that help our clients turn data into action as a Data Scientist Senior at GDIT.
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