• Be responsible for the monitoring and management of the end to end data flow of data submissions to vendors and government agencies to mitigate data leakage and submission errors. • Own the claim and supplemental submission workflow for Centers for Medicare & Medicaid Services (CMS) Encounter Data System (EDS) submissions. • Develop data pipeline tracking reports and analyze, research, and resolve encounter data errors. • Support the claim and supplemental submission workflow for CMS EDS submissions. • Collaborate closely between the Engineering and Risk Adjustment teams. • Assist with, track, and implement risk adjustment related initiatives and strategies. • Maintain, update, and create policies, procedures, and other documentation around the encounter process.

• Supporting tagging and measurement of digital journeys (training provided) to understand how members use our platforms. • Helping to gather, review and analyse data to produce clear insights for the business. • Assisting with the creation and maintenance of dashboards and reports, primarily using GA4 and Power BI (with support from the existing analyst). • Working alongside the digital design team and product owners to understand data needs, user journeys and reporting goals for our new pension platform. • Helping to identify what data is needed to support personalisation and improved member experiences. • Contributing to testing work during development phases by reviewing early data trends and validating that solutions meet expected outcomes. • Monitoring live performance once features are launched, spotting issues early and supporting improvements

• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.

• Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. • Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. • Collect, clean, and structure large datasets to ensure accuracy and usability. • Define and track KPIs for marketing, product, and business performance. • Work with SQL, Python, or R to extract, analyze, and manipulate data. • Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. • Conduct A/B testing and experiment analysis to improve product features and user engagement. • Identify bottlenecks and opportunities in user journeys and customer funnels. • Present findings in a clear and compelling way to stakeholders and leadership teams. • Stay up to date with industry trends, analytics best practices, and emerging data tools.