Principal Analytics Analyst - Healthcare Data

Job Summary

The Principal Analytics Analyst leads high-impact, complex analytics initiatives that advance product strategy, commercial outcomes, and external credibility across the healthcare ecosystem. As a principal individual contributor, this role shapes methodological approach, elevates standards for rigor and reproducibility, and serves as a trusted partner to Product, Engineering, and Commercial leaders.

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.
• Navigate and analyze complex healthcare transaction data, where data structures, definitions, and quality may be ambiguous, requiring problem-solving to define metrics, validate assumptions, and produce usable datasets.
• Influence the broader data/analytics ecosystem at Surescripts by defining reusable datasets, semantic layer requirements, KPI definitions, and analysis accelerators in collaboration with engineering and BI partners.
• Mentor colleagues and team members; provide technical leadership through review, coaching, and development of best practices and playbooks.
• Clearly communicate analytics methods and results to technical, executive, and client audiences, as needed.
• Identify opportunities for new analytics capabilities, tools, or processes that increase impact, reliability, and speed-to-insight.

Qualifications

• 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.
• 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.
• Expert-level SQL and strong Python/R; deep knowledge of statistical methods, machine learning (where appropriate), and analytical experimentation/measurement design.
• Demonstrated ability to work with messy, real-world data (e.g., inconsistent schemas, missing fields, or conflicting definitions) and identify, troubleshoot, and resolve data quality issues.
• Strong data visualization and executive storytelling skill; ability to build “narratives that travel” across stakeholder types.
• Comfort working with large-scale healthcare datasets and navigating governance/privacy constraints responsibly.
• 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.

Preferred Qualifications

• PhD preferred but not mandatory