Note: The job is a remote job and is open to candidates in USA. Surescripts serves the nation through simpler, trusted health intelligence sharing to improve patient safety, lower costs, and ensure quality care. The Principal Analytics Analyst leads complex analytics initiatives, develops advanced models and decision frameworks, and translates healthcare data into actionable insights and executive-ready recommendations for internal and external stakeholders.
Responsibilities
- Lead the design and delivery of complex analytics initiatives (descriptive through prescriptive), selecting appropriate methodologies and ensuring statistical/analytical integrity
- Frame ambiguous, high-stakes questions into analytic strategies, measurement frameworks, and decision-ready insights that support product development and sales enablement
- Drive development of advanced models and decision frameworks (e.g., forecasting, propensity/risk models, segmentation, scenario analysis), including robust validation and monitoring recommendations
- Set expectations for analytic rigor: reproducibility standards, documentation norms, sensitivity analyses, and transparent communication of limitations and assumptions
- Partner with engineering and BI teams to establish reusable datasets, KPI definitions, and standardized reporting solutions that improve consistency and support self-service analytics across the organization
- Mentor colleagues and team members; provide technical leadership through review, coaching, and development of best practices and playbooks
- Serve as a trusted analytics partner by communicating insights, methodologies, and recommendations to internal and external stakeholders, enabling informed decision-making and driving business outcomes
- Identify opportunities for new analytics capabilities, tools, or processes that increase impact, reliability, and speed-to-insight
- Lead the development of dashboards, visualizations, and reporting solutions, establishing best practices and reusable approaches for the analytics team
- Translate complex data into clear insights, recommendations, and analytical narratives for internal and external stakeholders
- Share perspectives on which insights, metrics, and visualizations may be most meaningful to customers and business stakeholders, while mentoring analysts on communicating analytics effectively
Skills
- Master's degree in Data Science, Statistics, Epidemiology, Health Economics, or related field required
- 8+ years of experience in advanced analytics, with substantial healthcare analytics experience preferred
- Expert-level SQL and strong Python/R; deep knowledge of statistical methods, machine learning (where appropriate), and analytical experimentation/measurement design
- Strong data visualization and storytelling skills, with the ability to translate complex data into clear insights and compelling presentations for business
- Comfort working with large-scale healthcare datasets and navigating governance/privacy constraints responsibly
- Experience delivering analytics, insights, and recommendations to both internal and external stakeholders
- Demonstrated ability to lead without authority: set direction, align stakeholders, and raise standards across teams
- Strong track record mentoring others and improving team capability through reusable assets and best practices
- To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S
- At this time, we are unable to provide support or provide sponsorship for immigration benefits such as work visas
- Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM
- Evidence of leading complex, cross-functional analytics that drove material product, commercial, or strategic outcomes; preferred experience with medication adherence analytics, prior authorization and utilization management analytics, health economics and outcomes research (HEOR), and/or growth marketing analytics
- PhD preferred but not mandatory
Benefits
- Flexible Hybrid Work model for most positions, allowing employees to work virtually while still utilizing offices as collaboration centers.
- 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.
Company Overview