Business Intelligence Analyst Senior, AI

Key Responsibilities: • • Partner with product managers during problem sizing to quantify opportunity areas, establish baselines, and define what success looks like before any solution is built • Conduct exploratory data analysis during model development, profiling data quality, understanding distributions, identifying anomalies, and helping data scientists understand what the data is actually telling them • Build and maintain the feature datasets and data definitions that model development depends on, ensuring the analytical foundation is sound before anyone builds on it • Design and own the measurement frameworks that track AI performance in production, going beyond adoption to capture clinical and operational impact • Dig into Epic, Clarity, Caboodle, and other enterprise data sources to answer hard questions about how AI initiatives are performing and where they need to improve • Identify and resolve data quality issues at the source, working with clinical and operational teams to address problems that would otherwise degrade model performance silently • Turn complex analytical findings into clear narratives and visualizations that help product and strategy leaders make faster, better decisions • Establish and maintain data standards and documentation that make analytical work reusable and trustworthy across the portfolio Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job. *Relevant experience may be a combination of related work experience and degree obtained (Associate’s Degree = 2 years; Bachelor’s Degree = 4 years, Master's Degree = 6 years). Required Qualifications • 5 or more years of experience in business intelligence, data analytics, or healthcare informatics • Deep proficiency in SQL and experience querying Epic Clarity or Caboodle databases • Demonstrated ability to build production grade dashboards in tools such as Tableau, Power BI, or Qlik • Experience working in healthcare settings with familiarity in clinical workflows, revenue cycle metrics, or quality reporting • Strong communication skills with the ability to translate analytical findings for nontechnical audiences • Comfort operating in ambiguous, fast moving environments with multiple competing priorities • Bachelors degree in data science, informatics, health administration, or a related field; advanced degree preferred Preferred Qualifications • Experience supporting AI or machine learning product teams in a healthcare context • Familiarity with Epic reporting workbench, SlicerDicer, or Radar dashboards • Exposure to clinical quality metrics, coding capture, or patient throughput analytics • Experience contributing to vendor RFI or RFP evaluation processes