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.

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.

The Role

Wpromote is seeking a Revenue Operations leader to drive business performance through strategic analytics, forecasting, operational excellence, and scalable program development. This individual contributor role partners closely with Revenue, Client Services, Finance, and Executive Leadership to transform complex business data into actionable insights, improve forecasting accuracy, and develop programs that increase organizational effectiveness.

The ideal candidate combines analytical rigor with strong business acumen and excels at building scalable processes that drive measurable business outcomes.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

-Remote-first culture

-Unlimited PTO

-Extended Holiday break (Winter)

-Flexible schedules

-Work from anywhere options*

-100% paid parental leave

-401(k) matching

-Medical, Dental, Vision, Life, Pet Insurance

-Sponsored life insurance

-Short Term Disability insurance and additional voluntary insurance

-Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $157,000 - $175,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus.

This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.

*This position may be performed remotely in most states within the US, with some exclusions

**While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!

***This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

#LI-JL

#LI-Remote

You Will Be

• Developing and maintaining executive reporting, dashboards, KPI frameworks, and business performance insightsAnalyzing revenue, pipeline, client, and operational data to identify trends, opportunities, and risks
• Building forecasting models and performance measurement frameworks that support strategic planning and decision-making
• Partnering with leaders across Revenue, Finance, and Operations to improve forecasting accuracy and business visibility
• Driving quarterly and annual planning processes through scenario modeling and business analysis
• Designing and implementing programs that improve operational efficiency, effectiveness, and scalability
• Supporting the development and ongoing management of incentive compensation in partnership with Finance and People Operations
• Leading cross-functional initiatives involving process improvements, systems enhancements, and operational transformation
• Establishing governance, documentation, and adoption strategies that support long-term success
• Translating complex analyses into actionable recommendations for executive stakeholders

Continuously evaluating and optimizing processes to improve business performance

You Must Have

• 5+ years of experience in Revenue Operations, Business Operations, Strategy, Analytics, Finance, Consulting, or a related field
• Advanced proficiency in Salesforce, Gong, Excel, Google Sheets, and business intelligence platforms such as Tableau, Looker, or Power BI
• Experience building forecasting models, executive dashboards, and performance reporting frameworks
• Demonstrated success leading cross-functional initiatives from strategy through execution
• Strong project management, organizational, and stakeholder management skills
• Experience working within CRM and revenue technology ecosystems, preferably Salesforce
• Exceptional analytical and problem-solving capabilities
• Ability to influence stakeholders and drive alignment across multiple teams
• Excellent written, verbal, and executive-level communication skills

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own “inflection point,” where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of 66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world’s leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We are looking for a Databricks Tester with 3–5 years of experience in data testing and validation. The ideal candidate should have hands-on experience validating data pipelines and Databricks Delta tables, ensuring data accuracy, completeness, and consistency. The role requires strong SQL skills, experience with Databricks, and proficiency in defect management using JIRA.

Responsibilities

• Validate data in Databricks Delta tables across Bronze, Silver, and Gold layers.
• Perform source-to-target data validation and reconciliation.
• Verify data transformations, business rules, and aggregation logic.
• Execute SQL queries to validate data accuracy, completeness, consistency, and integrity.
• Validate schemas, data types, null values, duplicate records, and primary key constraints.
• Perform regression, integration, and end-to-end testing for data pipelines.
• Create, execute, and maintain test cases and test scenarios based on business requirements.
• Log, track, and manage defects using JIRA, and work closely with Data Engineers to resolve issues.
• Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives.
• Prepare test execution reports and communicate testing status to stakeholders.

Qualification

• 3–5 years of experience in Data Testing, ETL Testing, or Data Validation.
• Hands-on experience with Databricks and Delta Lake.
• Strong proficiency in SQL for data validation and reconciliation.
• Experience validating ETL/ELT pipelines and data transformations.
• Knowledge of Spark SQL and Databricks notebooks.
• Experience with JIRA for defect tracking and test management.
• Understanding of data warehousing concepts and relational databases.
• Experience working in Agile/Scrum environments.
• Strong analytical, troubleshooting, and communication skills.

Preferred Skills

• Basic knowledge of PySpark and Python
• Experience with Azure Databricks.
• Experience with ETL testing.
• Exposure to Azure DevOps or Git for version control.
• Familiarity with data quality frameworks and test automation tools.

Core Validation Activities

• Source-to-target reconciliation
• Row count and record count validation
• Schema and data type validation
• Null, duplicate, and uniqueness checks
• Business rule validation
• Incremental and full load validation
• Delta table validation
• End-to-end data pipeline testing
• Defect logging and tracking using JIRA

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

AI Transparency & Disclosure

As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.

These tools augment our process, but we “Commit to Our Craft” by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us “Win Together” in finding the best fit for our team.

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.

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

Company DescriptionThe Director, Product, AI Commerce Analytics & Data Strategy owns the AI and data strategy and the supporting architecture for NIQ’s AI Commerce partnerships and AI-driven product operations. The...

Company DescriptionThe Director, Product, AI Commerce Analytics & Data Strategy owns the AI and data strategy and the supporting architecture for NIQ’s AI Commerce partnerships and AI-driven product operations. The...

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...

Join Our TeamOowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.As a valued member of Oowlish, you...

Job Summary As a member of the Customer Experience team, the Director, Data Analytics ensures timely creation of key Executive and Health plan management reports, as well as providing critical...

Join Our TeamOowlish, one of Latin America’s rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.As a valued member of Oowlish, you...

Job Summary As a member of the Customer Experience team, the Director, Data Analytics ensures timely creation of key Executive and Health plan management reports, as well as providing critical...

Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C).

At Bloomerang, we believe change happens on purpose. We champion the power and potential of nonprofits, igniting next-level impact with the team and technology built for purpose. Our powerful giving platform and stellar support enable tens of thousands of nonprofits to raise more, recruit more, and retain more, fueling maximum impact and raising the bar on what’s possible for the nonprofit sector. That’s why, even as the nonprofit sector sees declines in giving, Bloomerang customers raise more year over year.

We’re also in the business of creating thriving employees. Join a mission-driven culture built on our core values of Simplify, Care and Act. We know our people are the key to our success, and we’re proud to be home to some of the most innovative and skilled individuals in the workforce today. Come feel invigorated and unstoppable with us!

The Role

As a Data Science Lead at Bloomerang, you’ll own the intelligence layer on top of the Unified Data Foundation (UDF)—the models, experiments, and measurement that turn the data of 24,000+ nonprofits into products they can trust. Reporting to the Director of AI Product Engineering, you’ll set the technical direction for data science across the Bloomerang Giving Platform: the causal measurement that proves what actually works, the predictive and forecasting models that anticipate donor behavior, the evaluation that keeps our AI products trustworthy, and the ML platform that gets all of it to production.

This is a hands-on, builder role—a principal-level individual contributor who leads through the work, not a people-management seat. Data is the moat; intelligence is the castle. You’ll prove causation instead of settling for correlation, set the bar for how models are built, measured, and shipped, and partner daily with data engineers, AI engineers, and product. You’ll bring AI-native habits into how you build, test, and reason.

What You Will Do

• Prove what works, not just what correlates. Design and run the experimentation engine—randomized holdouts, uplift measurement, significance and power—so we can claim a fundraising action caused a lift in retention or giving, not that it happened alongside one.
• Build the predictive and forecasting models that drive donor lifetime value, retention, lapse risk, and “will we hit our goal?” forecasting—calibrated, explainable, and honest about uncertainty rather than falsely precise.
• Own model quality and evaluation. Stand up the evals, accuracy bars, and monitoring that keep our AI products and agents trustworthy—because a confident wrong answer costs a fundraiser more than no answer at all.
• Get models to production and keep them healthy. Own the ML lifecycle on Databricks and MLflow—training, deployment, versioning, and drift and performance monitoring—so models keep earning trust long after launch.
• Set the technical direction for data science. Define how we model, measure, and validate; make the call on methods and tooling; and raise the rigor bar through the quality of your own work.
• Partner across the stack. Work daily with the data engineers building the data lakehouse, the AI engineers shipping the products.
• Use AI tools (Claude Code, Cursor, or similar) daily for analysis, modeling, evaluation, and problem-solving. We expect this to fundamentally change how you work, not just speed up what you’d do anyway.

What You Need to Succeed

Technical Depth

• Applied data science experience: 8+ years building data science and machine learning that shipped to production and moved a real metric—not models that stalled in a notebook.
• Causal inference and experimentation: deep, hands-on work with A/B testing, randomized holdouts, uplift and treatment-effect modeling, and significance and power analysis. You know why measuring impact against KPIs without a control group is the most common way to learn the wrong lesson.
• Predictive and statistical modeling: propensity, churn and retention, lifetime value, time-series and forecasting, and calibration—with the judgment to reach for the simplest model that works.
• Strong Python and SQL, and fluency with the modern ML and statistics stack (e.g., scikit-learn, gradient boosting, and the tooling behind experiment design).
• Production ML sensibility: real experience deploying, versioning, and monitoring models (Langfuse, MLflow or similar). You own outcomes after the model ships, including drift and degradation.
• Modern data platform fluency: comfortable working on a lakehouse (Databricks preferred) and partnering closely on the data models your features depend on.

AI-Native Mindset

• Hands-on AI tool usage: you already use Claude Code, Cursor, or similar AI development environments as a daily part of how you build. You can speak to where they accelerate your work and where they don’t.
• Curiosity about the frontier: you’re energized by the pace of AI-driven change—including LLM and agent evaluation—and you bring that energy into the team.

Leadership & Ownership

• Technical leadership without the org chart: you set direction through the clarity and rigor of your work, your standards, and your influence. This is a principal-level individual-contributor seat, not a people-management one.
• Quality-first instincts: you build evaluation, monitoring, and honest uncertainty in from day one. You’d rather ship a calibrated “we’re not sure yet” than a confident answer that’s wrong.
• Cross-functional partnership: a track record of working well with data engineers, ML and AI engineers, and product.
• Security and data trust: our customers trust us with their donors’ data. You take that—and the consent posture behind any cross-organization analytics—seriously.

Nice to Haves But Not Required

• Background in nonprofit, fundraising, or CRM data.
• Causal and experimentation work at product scale (experimentation platforms, sequential testing).
• LLM and agent evaluation frameworks and techniques.
• Familiarity with Data Vault 2.0 or medallion lakehouse modeling.

Benefits

Health + Wellness

You’ll have access to generous health, vision, and dental insurance options as well as HealthiestYou, a healthcare service that offers convenient, confidential access to quality doctors 24⁄7, anytime, anywhere.

Time Off

You’ll get a competitive PTO package that includes 20 PTO days, 3 flex days, 4 optional volunteer days, 12 paid holidays, as well as paid parental leave. More is more!

401k You’ll receive a 401k match to help invest in your future.

Equipment

Everything you need to be successful, shipped right to your door. You got this. We got you.

Compensation

The salary range for this position is $138,100 - $230,200. You may also be eligible for a discretionary bonus. Actual compensation within the range will be dependent on your skills, experience, qualifications, and location, as well as applicable employment laws

Location

This is a permanent, full-time, fully remote position (within the U.S. and select Canadian Provinces only). Employees living in Indianapolis, IN are welcome to work from our company headquarters. We do not offer Visa sponsorship or relocation assistance at this time.

Accommodations Applicants who require accommodations may contact careers@bloomerang.com to request an accommodation in completing an application.

Bloomerang is an Equal Opportunity Employer. Individuals seeking employment at Bloomerang are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.

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 © 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.

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 © 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.

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.

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

Company Description

Experian 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, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

We are looking for a curious, data-driven HR Analyst passionate about process optimization and excited by the potential of AI and automation to transform how HR operates.

You will report to the Senior HRBP and HR Transformation Manager and partner with team members and HRBPs to support a variety of existing HR activities. Additionally, you will play an important part in leading changes that increase the team’s efficiency and productivity. These changes include bringing new ideas, experimenting with tools, and helping the team become more data-driven and AI-fluent.

What you’ll do

• Use data to analyze workforce trends, uncover insights, and inform HR and business strategies
• Improve dynamic dashboards (e.g., Power BI) to deliver real-time visibility into main metrics such as turnover, headcount, engagement, and diversity
• Translate complex data into clear, applicable insights and themes for HR Partners.
• Respond to data requests while identifying opportunities to deliver deeper, predictive, or automated insights
• Partner with HR Centers of Excellence to adopt and scale modern HR analytics and AI-driven capabilities
• Implement process improvements by using automation and AI tools to increase efficiency and reduce manual work
• Champion a data-driven and AI-fluent culture within the HR team by exploring new tools, testing ideas, and sharing best practices
• Support onboarding and offboarding processes, including analyzing exit data to identify trends and opportunities for improvement

Qualifications

What your background is

• An undergraduate degree in Business Administration, Data Analytics, Human Resources, Organizational Leadership, Development or Effectiveness preferred or equivalent combination of education and related experience
• 2+ years related experience within a range of HR disciplines
• Experience working with data, reporting, and visualization tools (Power BI)
• Expertise in Excel, being able to create and consolidate data, pivot tables, build dashboards and automated templates.
• Curiosity and interest in AI, automation, and new technologies.
• Advanced English communication skills.

Additional Information

Our uniqueness is that we celebrate yours. Experian’s people first, inclusive and purpose driven culture is multi award-winning; World’s Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more.

This is a fully remote job opportunity.

Recruitment Fraud Awareness- Experian’s recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.

Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

#LI-Remote