Principal Analytics Analyst
Job Summary
The Principal Analytics Analyst leads complex, high-impact analytics initiatives that drive product strategy and commercial outcomes. This role serves as a subject matter expert, shaping methodological standards and providing technical leadership to internal teams. The position focuses on translating sophisticated healthcare data into actionable insights to support decision-making across the organization.
Responsibilities
- Lead complex, cross-functional analytics initiatives
- Develop advanced predictive models and measurement frameworks
- Define rigorous standards for data reproducibility and documentation
- Mentor team members and provide technical leadership
- Communicate complex insights to executive stakeholders
Required Skills
- Master's degree in relevant quantitative field
- 8+ years of advanced analytics experience
- Expert SQL, Python, and R proficiency
- Healthcare industry and transaction data experience
- Statistical modeling and machine learning
Job Details
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.
- Navigate and analyze complex healthcare transaction data, where data structures, definitions, and quality may be ambiguous.
- Influence the broader data/analytics ecosystem by defining reusable datasets, semantic layer requirements, KPI definitions, and analysis accelerators.
- 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.
- 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.
- Expert-level SQL and strong Python/R; deep knowledge of statistical methods, machine learning, and analytical experimentation/measurement design.
- Demonstrated ability to work with messy, real-world data and identify, troubleshoot, and resolve data quality issues.
- Strong data visualization and executive storytelling skill.
- Comfort working with large-scale healthcare datasets and navigating governance/privacy constraints responsibly.
- Demonstrated ability to lead without authority and set direction across teams.