• Develop dashboards, user interfaces, and reports in compliance with Section 508 accessibility standards. • Design, test, and deploy interactive reports using Tableau, Power BI, R, Python, and other approved tools. • Create custom calculations and apply filters for dynamic reporting. • Design and maintain SharePoint custom solutions supporting communication and tracking. • Assess and address data management issues and provide recommendations. • Maintain quality control and compliance with dissemination, visualization, and security governance. • Develop visual analytics for survey data and registration systems using approved tools. • Gather, preprocess, and normalize data for visualization. • Choose visualization types appropriate to data and objectives. • Implement visualizations with programming languages or visualization libraries (R, D3, Python). • Add interactive features to visualizations where required. • Test and validate visualizations to ensure accuracy and usability. • Optimize performance when working with large datasets. • Participate in planning and stage-gate reviews under current policies and lifecycle standards. • Provide feedback on data reuse and perform cleansing to remove duplicates. • Give presentations to stakeholders on development activities. • Deliver program documentation with purpose, programming steps, outputs, and accuracy assessments. • Submit program code to the Technical Monitor with internal comments and documentation.

• Partner with the Specialty Care Operations team to define, refine, and evolve key metrics and KPIs as the program scales across new conditions and services. • Build and maintain dashboards and data visualizations in business intelligence tools (ex: Looker, Hex, Omni) that empower non-technical users to monitor member engagement, clinical outcomes, and operational efficiency. • Conduct exploratory and ad-hoc analyses to answer emerging business questions, such as evaluating early engagement in new services or understanding potential impacts of platform changes. • Identify trends and gaps in program performance and recommend opportunities for improvement based on data-driven insights. • Support data integrity efforts by contributing to dbt models and ensuring consistent, scalable data structures across Specialty Care programs. • Partner with data, product, and engineering teams to ensure the Specialty Care team has access to the necessary data sources for comprehensive reporting. • Serve as a data advisor and thought partner for Specialty Care leadership, proactively shaping how success is measured and informing future strategic initiatives. • Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes. • Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver. • Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business. • Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency.

• Design and execute advanced experiments that prove advertising value and optimize campaigns, delivering actionable insights that drive business decisions • Analyze experiment data to produce nuanced recommendations for improving ad performance and measurement outcomes • Tailor measurement approaches to meet stakeholder needs, by developing innovative metrics and data visualizations that reveal deeper business insights • Proactively partner with stakeholders to shape media measurement strategies and address complex challenges, navigating through ambiguous measurement questions • Present experimental findings and other data-driven insights with an executive presence to senior clients, educating them on methodologies and ensuring alignment on actionable insights • Lead discussions, trainings, and Q&A sessions as a thought leader on ad measurement and experimentation to inspire confidence in measurement outcomes with clients and internal teams • Identify strategic opportunities, including client upsell potential or internal operational improvement needs, informed by data-driven insights • Develop customized analytical solutions, including code, dashboards, and self-service tools with data-driven enhancements either through client works and/or project initiatives

• Build and maintain data quality dashboards tracking freshness, completeness, validity, and consistency of client data • Write SQL queries to investigate data issues, produce reports, and support ad hoc analytical requests • Map regulatory requirements to data fields and monitor compliance through ongoing analytics • Set up and maintain alerts for data quality degradation and outdated client records • Analyze data flows between the mobile app and back-office systems to identify gaps and inconsistencies • Collaborate with product, engineering, operations, and compliance teams on data-related decisions