Business Intelligence Analyst Senior, AI

• • 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).

• 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

Location: Work from home (Pennsylvania) Shift: Days (United States of America) Scheduled Weekly Hours: 40 Worker Type: Regular Exemption Status: Yes Job Summary: Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role provides the analytical foundation that makes good AI investment decisions possible, from measuring what is working in production to sizing what is worth building next. Position Summary: This is a role for someone who wants their analytical work to directly shape what gets built and what gets prioritized. Embedded within Geisinger AI product function, you will turn complex clinical and operational data into the evidence that drives portfolio decisions, validates AI performance in production, and informs how the organization communicates value to leadership. You will work closely with product managers, data scientists, and clinical partners across a broad range of AI initiatives spanning care delivery, revenue cycle, operations, and more. Job Duties: 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). Position Details: 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 Education: High School Diploma or Equivalent (GED)- (Required) Experience: Minimum of 8 years-Relevant experience* (Required) Certification(s) and License(s): Skills: Group Problem Solving, Teamwork OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. • EXCELLENCE: We treasure colleagues who humbly strive for excellence. • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation. • SAFETY: We provide a safe environment for our patients and members and the Geisinger family. We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality. Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. Originally posted on Himalayas Business-Intelligence-Analyst, Data-Analyst, Healthcare-Analyst, AI-Analyst, Senior-BI-And-Analytics-Analyst, Senior-BI-and-Data-Analyst, Senior-BI-Analyst