• 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

• Responsible for leading our marketing analytics, web analytics, marketing data operations, and data governance efforts. • Drive insights and understanding across the marketing team to improve performance and optimize marketing resource allocation. • Understand existing objectives, campaigns, data flows, metrics, and stakeholders; recommend incremental improvements. • Establish and maintain standardized marketing KPIs and leading metrics aligned with organizational goals and performance tracking. • Champion a culture of data literacy, building operational dashboards, and socializing data through data-driven storytelling, visualization, and self-service empowerment. • Learn and support existing tools, including: Ours Privacy, GA4, Snowflake, Contentful, CallTrackingMetrics, Google Ads, Meta Ads, Microsoft Clarity, and Tableau. • Collaborate with engineering, product, and data teams to support two-way integrations between the MarTech stack and enterprise data systems. • Define and lead the requirements for creating a marketing database in Snowflake. • Partner closely with Marketing leadership, the B2B Growth team, paid media agencies, vendors, contractors, and internal teams to understand and own all marketing data flows and insights. • Participate deeply in marketing data governance, collaborating closely with legal, compliance, data, and IS teams to ensure compliance with privacy laws (e.g., HIPAA, CCPA, COPPA).