Senior Business Intelligence Analyst – AI Evaluation, Monitoring
Posted 1ds ago
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Job Description
Senior BI Analyst supporting AI Evaluation & Monitoring, utilizing analytic expertise for data-driven decisions. Collaborating with stakeholders and mentoring junior BI developers in a healthcare setting.
Responsibilities:
- 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
Requirements:
- Minimum of 8 years-Relevant experience* (Required)
- Healthcare, clinical, or regulated-industry data experience strongly preferred
- Applied statistics: hypothesis testing, confidence intervals, power and sample size, regression, and non-parametric methods
- SQL with large, messy clinical data warehouses, including window functions, CTEs, debugging query plans, and performance tuning
- Python for analysis: pandas, numpy, scikit-learn, statsmodels, common evaluation libraries
- Production monitoring design and execution: drift detection, performance decay tracking, adoption and outcome metrics
- LLM and generative AI evaluation execution: golden sets, judge-based scoring, hallucination and grounding checks
- Education: High School Diploma or Equivalent (GED)- (Required)
Benefits:
- Healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners
- Encouragement of collaboration, cooperation and collegiality



















