Senior Analytics Analyst - Healthcare Data

Surescripts • Minneapolis, MN

13d • $123,500 - $150,900 • Hybrid

About The Position

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. They deliver insights at critical points of care for better decisions, from streamlining prior authorizations to delivering comprehensive medication histories and facilitating messages between providers. 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 involves owning analysis from problem framing through delivery, applying strong statistical and analytical judgment to large-scale healthcare transaction data. The Senior Analyst acts as a reliable cross-functional partner, elevates analytic rigor, and mentors junior analysts while remaining hands-on.

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.
• 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.

Nice To Haves

• Master’s degree in a quantitative field preferred
• healthcare analytics experience strongly preferred

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)

Benefits

• competitive compensation packages
• extensive benefits
• opportunities for employee development
• comprehensive healthcare (including infertility coverage)
• generous paid time off including paid childbirth and parental leave and mental health days
• pet insurance
• 401(k) with company match and immediate vesting

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees