Senior Analytics Analyst - Healthcare Data

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams to produce actionable insights and support product decisions while mentoring junior analysts.

Responsibilities:

• Own end-to-end analytics deliverables: scope the problem, define success metrics, develop analytic plans, execute analyses/models, and present results with confidence
• Develop and deliver complex descriptive and diagnostic analyses; contribute to predictive/prescriptive efforts with appropriate methods selection and validation
• Partner closely with product and engineering to translate ambiguous needs into measurable questions, testable hypotheses, and scalable analytic outputs
• Produce high-quality visualizations and narratives that communicate “so what” implications and recommended actions for both technical and business audiences
• Establish and maintain reusable analytic assets (queries, datasets, templates, documentation) that improve team efficiency and consistency
• Raise the team’s quality bar through code review participation, QA checklisting, and methodology transparency (limitations, sensitivity checks, assumptions)
• Mentor colleagues and team members through coaching, feedback, and structured support on analytic approach and stakeholder communication
• Support client-facing work as needed (e.g., preparing exhibits, explaining methods)

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Economics, Public Health, Epidemiology, Health Economics, or related field required
• 5+ years of experience in analytics roles, with demonstrated ownership of multi-stakeholder analyses; healthcare analytics experience strongly preferred
• Advanced SQL proficiency; strong Python/R capability for analysis and modeling
• Strong visualization and storytelling capability in Tableau/Looker (or equivalent)
• Proven ability to work with large datasets and to implement sound validation and reproducibility practices
• Demonstrated success translating complex analytics into clear, actionable insights
• Strong project management habits: prioritization, expectation-setting, and consistent delivery in dynamic conditions
• Master's degree in a quantitative field preferred