• Provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor program and operational performance. • Promotes self-service analytics for customer adoption, understanding, and use of data. • Supports the design of programmatic analyses and reporting capabilities in addition to business requirement definition for new analyses. • Performs ad-hoc analysis as directed. • Supports data quality and data stewardship functions to maintain data accuracy and identify new metrics. • Uses analytic skills to offer data-driven conclusions and recommendations to business partners.

• Solve data needs • Identify solutions for teams and clients across the company by advising colleagues on available datasets and analytical approaches • Code proficiently in SAS and R for data wrangling, analysis, and reproducible workflows • Interpret quantitative analysis into healthcare insights and recommendations • Communicate analysis findings and data considerations to internal project teams and external clients • Lead the design and ongoing evolution of our data infrastructure to support scalable analytics and decision-making

• Read and integrate internal FIFA data with syndicated/ad hoc research data to generate deeper and usable insights and actionable recommendations. • Answer questions about fan profiles, by leveraging on various research. • Apply data visualization and storytelling techniques to present insights that enable management to make informed decisions and to communicate insights clearly, even to non-technical stakeholders. • Produce high-quality visual outputs for the whole department: executive-ready PowerPoint presentations/decks, ad-hoc slides, and clear “so what” narratives from data and research. • Assist with data exploration and curation: cleaning, structuring, validating, and documenting datasets to improve usability and consistency across projects. • Support digital performance and campaign analytics, including measurement frameworks, KPI definitions, and post-campaign analysis. • Bring knowledge of first-party data concepts and applications, including how to translate data into audience and commercial insights.

• Pull, clean, normalize, and analyze large and complex datasets from internal Lilly systems (such as transactional, claims, distribution, and pricing data) and external sources in support of investigations. • Work collaboratively with lawyers, investigators, forensic laboratory analysts, and intelligence professionals to initiate, advance, and conclude investigations. • Identify data anomalies, irregular patterns, and statistically significant trends that may indicate fraud, diversion, counterfeiting, or other legal violations. • Validate data to evidentiary standards, for use in litigation or referrals to law enforcement, and appropriately qualify uncertainty in analysis. • Develop and maintain data pipelines, dashboards, and automated monitoring tools to proactively surface high-value investigative leads. • Prepare clear, well-documented analytical reports, visualizations, and data summaries that support investigative strategy and enforcement actions. • Work with Legal and compliance partners to advise on data-driven risk mitigation, controls improvements, and fraud prevention measures. • Consolidate and integrate data across Lilly systems and help manage access and data governance in support of SIU operations. • Perform detailed documentation of analytical methods and findings within the SIU’s internal case management system. • Partner with outside counsel, experts such as forensic accountants, and law enforcement on investigations and any resulting civil or criminal actions. • Throughout all assignments and investigations, maintain company confidential information, use discretion in conducting sensitive investigations, comply with all national and local laws, and preserve all applicable privileges.