• The Senior BI Analyst serves as a partner to the business or clinical area supported (AI Evaluation & Monitoring) • Use analytic expertise including knowledge of data structures, programming, and statistics with critical thinking • Collect, clean, and interpret data sets to answer a question or solve a problem • Identify and effectively communicate improvement opportunities and support evaluation of existing AI/ML projects • Act as the analytics expert in meetings and discussions with stakeholders • Consult with AI stakeholders to gather evaluation and data requirements and define scope on projects of all sizes • Execute the evaluation work that keeps Geisinger's AI portfolio safe, performant, and accountable • Collaborate with internal partners and organizations in design and development of reporting solutions and analytic studies • Develop, validate, and execute complex queries and reports that answer business questions for internal customers • Present analysis and reports to internal customers and stakeholders • Report and help troubleshoot data quality issues during data profiling, testing, or validation • Participate in strategic departmental initiatives and mentor junior BI developers

Role Description The Business Intelligence Lead solves complex business problems using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Lead works on problems of diverse scope and complexity ranging from moderate to substantial. You will report to the Director, Business Intelligence. The Business Intelligence Lead defines the technologies and practices used to transform data into applicable insights. You will advise executives to develop functional strategies (often segment specific) on matters of significance. You will exercise discernment on complex issues regarding job responsibilities and related tasks. You will use judgment that requires analysis of variable factors and determining the best course of action. Qualifications - Bachelor's degree and 8+ years of technical experience in data analysis OR Master's degree and 4+ years of experience. - 2+ years of project leadership experience. - Advanced experience working with big and complex data sets within large organizations. - Experience analyzing data to solve different business problems and create data visualizations that move strategic direction. - Proficiency in understanding Healthcare related data. - Experience with Medicare Risk Adjustment (MRA), Health Information Exchange (HIE), and quality healthcare data aggregation. - Must be able to work within the EST time zone. - Passionate about contributing to an organization focused on improving consumer experiences. Requirements - Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field. - Advanced in SQL, SAS, and other data systems. - Experience with tools such as Tableau and Qlik for creating data visualizations. - Expertise in data mining, forecasting, simulation, or predictive modeling. - Experience creating analytics solutions for several healthcare sectors. Benefits - Competitive benefits that support whole-person well-being. - Medical, dental and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance and many other opportunities. Additional Information - Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. - Scheduled Weekly Hours: 40 - Pay Range: $117,600 - $161,700 per year. - This job is eligible for a bonus incentive plan based upon company and/or individual performance.

• Turn blockchain and product data into clear, actionable insights • Own the end-to-end analytics stack for wallet funnels, wagering behavior, lifecycle marketing, and compliance • Design, build, and iterate on Tableau dashboards that surface core KPIs • Write production-grade SQL to model clean datasets • Use Python for analysis, data quality checks, lightweight ETL/backfills, API integrations, and automation • Work with on-chain data: parse EVM logs and token transfers, join labeled-address datasets, analyze exchange/bridge flows • Own crypto wallet analytics across the funnel • Partner with Product, Marketing/CRM, Risk/Compliance, and Engineering teams • Design and analyze experiments, cohorts, and attribution • Investigate anomalies and recommend mitigations • Automate recurring reporting and alerting for KPI movements

• Part of a Global Business Intelligence Team developing and maintaining the Enterprise Data Warehouse • Maintaining standard Dashboards and providing data support for business self-service • Troubleshooting and optimizing data queries