Senior Analytics Analyst - Healthcare Data

Job Summary

The Senior Analytics Analyst - Healthcare Data independently leads analytics workstreams that produce actionable insights, enable product decisions, and strengthen commercial narratives across Surescripts solutions. This role owns analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analyst serves as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.

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)

Qualifications

• Basic 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.
• Preferred Qualifications: Master’s degree in a quantitative field preferred