Principal Analytics Analyst - Healthcare Data

Surescripts

1d•$152,900 - $186,900•Hybrid

About The Position

The Principal Analytics Analyst leads complex, high-impact analytics initiatives that support product strategy, business outcomes, and customer value. This role partners across the organization to translate complex business questions into actionable insights, scalable analytics solutions, and executive-ready recommendations that drive informed decision-making and measurable results.

Requirements

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.
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.

Nice To Haves

PhD preferred but not mandatory

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.