• Scope, design, build, and maintain dashboards, reporting tools, and data models to enable self-service access to key metrics and ensure data accuracy, consistency, and accessibility across teams. • Enable business leaders to make data-driven decisions by translating their business needs into the appropriate analytical tools and metrics to answer strategic and operational questions. • Elicit and synthesize data-driven insights into clear narratives and recommendations that influence decision-making, including recurring business reviews, strategic planning sessions, and ad hoc deep dives.

• Develop, maintain, and enhance dashboards and reports in Power BI • Translate business requirements into KPIs, metrics, and visual analyses • Create efficient data models for analytical consumption • Work with DAX, relationships, and performance optimization • Apply data storytelling to make indicators easier to interpret • Identify process improvement opportunities based on data • Support data organization in Azure and/or AWS environments • Work with data from multiple sources (ERP, CRM, spreadsheets, APIs, etc.) • Participate in defining business rules applied to data • Ensure data quality, consistency, and traceability • Support technical teams in structuring datasets for analysis • Interact with teams such as Sales, Operations, Finance, and Product • Help users translate needs into measurable indicators • Serve as an internal point of reference for BI and data visualization topics

• Analyze Medicare, Medicaid, and Marketplace data to support medical cost, utilization, and reimbursement insights • Develop and maintain complex SQL queries to extract, validate, and analyze large datasets • Perform financial and medical cost analyses related to payment and reimbursement methodologies (DRG, APC, EAPG) • Build and maintain Power BI dashboards using DAX and Power Pivot to track KPIs, MLR, and QAI initiatives • Create advanced Excel models using Pivot Tables, Power Query, nested formulas, and lookups to support financial modeling • Collaborate with Medical Economics, Actuarial, Finance, and other cross-functional teams • Support evaluation of Quality & Affordability Initiatives (QAI) and Medical Loss Ratio (MLR) performance • Ensure data accuracy through validation, reconciliation, and documentation

• Evaluate marketing campaign performance, providing insights into effectiveness and ROI • Develop and maintain dashboards and reports to track key performance indicators (KPIs) for both product monetisation and marketing performance teams • Extract, clean, and manipulate data from various sources to ensure accuracy and integrity • Conduct A/B testing and other experimental designs to optimize product features and marketing strategies • Collaborate with product monetisation managers and marketing teams to understand their data needs and deliver actionable insights • Perform customer segmentation analysis to better understand user behavior and target marketing efforts • Provide data-driven recommendations to enhance user experience and increase customer engagement • Utilize statistical methods and tools to identify and predict trends in product usage and market response • Communicate findings and insights clearly and effectively to stakeholders through presentations, reports, and visualizations • Stay updated with the latest trends and best practices in product and marketing analytics