• Digital tagging and instrumentation: Map, implement, validate, and certify the tagging plan across digital channels (web and app), ensuring accurate collection of user events and interactions • Advanced Analytics configurations: Execute advanced measurement configurations, including User ID tracking, cross-domain tracking, and collection of custom events • Data quality monitoring: Continuously monitor the quality and integrity of collected data, identifying and correcting anomalies and tagging gaps • Interface with Engineering: Collaborate with the data engineering team on the construction and review of views and data layers (bronze, silver, gold), acting as the technical reference for Analytics data • Documentation: Maintain the tagging plan documentation up to date, ensuring traceability of implementations and technical decisions • Paid media support: Support the monitoring of media pixels and the validation of campaign data, contributing to the accuracy of media performance metrics (e.g., attribution, conversions) • Dashboards and analysis: Build and maintain analytical dashboards focused on tagging data and digital performance, supporting business stakeholders’ decision-making • Experimentation and monitoring tools management: Operate and configure optimization and testing tools according to the client’s current stack

• Partner with operations, finance, and leadership teams to understand business needs and operational challenges • Analyze business processes and identify opportunities to improve efficiency, visibility, and performance • Document workflows, reporting requirements, and operational procedures • Support project tracking, financial reporting, and operational performance reviews • Collect, validate, clean, and analyze data from multiple systems and sources • Identify trends, risks, bottlenecks, and performance opportunities • Create dashboards, reports, and visualizations that support strategic decision-making • Develop meaningful KPIs and operational metrics • Translate complex data into clear recommendations for business stakeholders • Build and maintain dashboards using Power BI, Tableau, Looker, Google Workspace, or similar tools • Support reporting automation and recurring data processes • Improve data accuracy, consistency, and governance across systems • Assist in developing predictive insights related to project performance, cost management, workforce planning, and operational efficiency • Work closely with field operations, project managers, finance, and executive leadership • Present findings and recommendations to both technical and non-technical audiences • Support continuous improvement initiatives through data-driven analysis

• 🎯 Your mission: be the dedicated data partner that helps a hands-on product team go deeper, see further, and design better products. • 🤝 Be the PMs' data partner - Our PMs already do their own analyses. You're the counterpart who takes the work deeper and broader than they can in a sprint. • Take on the analyses they don't have time for, accelerate the ones they're running, and pair on the questions that matter most. • Free PMs to focus on building product by being the dedicated owner of the data work that supports it. • 🔭 Bring perspective they can't get themselves - Cross-product cuts, segment views, comparative analyses across the user base — the outside lens that's hard to see from inside a single squad. • Challenge assumptions, including the ones PMs are most attached to. • Surface the analyses nobody asked for but everyone needed. • 🚀 Help design and improve the product - Co-create hypotheses with PMs and pair on how to test them properly. • **Activation and adoption are the headline:** how users get to value, what drives lasting use, where we're losing them, and what to build to fix it. • Go deep on retention drivers, cohort dynamics, and the leading indicators of expansion. Connect feature-level analyses back to the bigger picture. • 🗣 Influence the roadmap with a real POV - Sit in product planning as a peer. Bring strong, data-backed opinions about what we should build next — and what we shouldn't. • Push back constructively. Translate complex analysis into crisp recommendations that move decisions. • 🧪 Raise the bar on rigor - Bring statistical depth where it matters and keep it out of the way when it doesn't. • Make experiments and analyses trustworthy — well-designed, properly powered, honestly read. • Partner with PMs and Engineering on event instrumentation so the data the team relies on is solid.

Role Description The Senior Value-Based Healthcare Data Analyst is responsible for providing leadership and advanced analytical expertise to support healthcare quality, regulatory, and operational reporting initiatives, including HEDIS, EDPS, and encounter submissions. This position ensures accuracy, integrity, traceability, and compliance of complex, multi-source healthcare data in accordance with NCQA, CMS, and state regulatory requirements. The role functions as a hands-on technical leader, supervising analytic activities and coordinating efforts across Quality, Clinical, Informatics, IT, and Business Intelligence teams. Through collaboration and data-driven insights, the position supports organizational objectives related to quality performance, affordability, and improved member outcomes. If you are located in Texas, you will have the flexibility to work remotely* as you take on some tough challenges. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Qualifications - Bachelor’s degree in Health Informatics, Healthcare Administration, Data Analytics, Statistics, Computer Science, Information Systems, Mathematics, or a related discipline - 3+ years of experience in healthcare data analytics, informatics, decision support, or managed care, including project leadership or analyst mentoring - Experience supporting NCQA HEDIS Compliance Audits, quality measurement, and value-based care programs - Experience supporting Medicare Advantage (Part C) and/or Health Insurance Marketplace products - Experience extracting, reconciling, and validating data from EPIC Clarity and/or Caboodle - Solid experience with data validation, ETL processes, and healthcare reporting tools (e.g., Tableau, Power BI, Crystal Reports) - Knowledge of Medicare Advantage, including Stars, HEDIS, and regulatory reporting programs - Advanced expertise in healthcare data analytics, quality measurement, and regulatory compliance - Understanding of HEDIS Technical Specifications, NCQA requirements, and related compliance standards - Proficiency working with claims and clinical data, including ICD 10 CM and CPT/HCPCS coding standards and healthcare data models - Advanced proficiency in SQL and Microsoft Excel, with working knowledge of Word and PowerPoint - Demonstrated ability to translate complex healthcare data into clear, executive-level insights that support quality and performance strategy - Demonstrated ability to manage multiple priorities in a fast-paced, deadline-driven environment - Proven verbal and written communication skills with exceptional attention to detail and analytical rigor - Proven independently monitors data pipelines, submissions, and measure results for anomalies, gaps, or logic errors Requirements - Master’s degree in health informatics, Data Science, Analytics, Biostatistics, Healthcare Administration, or related field (preferred) - Relevant certifications such as CPHQ, RHIA/RHIT, Epic (Clarity/Caboodle/reporting), CAP, or SAS/SQL/data analytics (preferred) - 3+ years of experience with EDI encounter data (837), acknowledgments (277CA/999), and CMS risk adjustment files (MAO 002/004, RAPS) (preferred) - Experience reviewing work and providing actionable feedback (preferred) - Solid expertise in healthcare analytics, quality metrics, and value-based care models (preferred) - Advanced knowledge of Epic Clarity architecture, refresh cycles, and EDW integration for BI/reporting (preferred) - Proficiency in Python, R, SAS, or similar programming/statistical tools (preferred) - Demonstrated ability to balance strategic thinking with hands-on execution (preferred) - Proven problem-solving skills with a focus on continuous improvement and proactive solution development (preferred) Benefits - Comprehensive benefits package - Incentive and recognition programs - Equity stock purchase - 401k contribution (all benefits are subject to eligibility requirements) Company Description At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. - OptumCare is an Equal Employment Opportunity employer under applicable law. - Qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. - OptumCare is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.