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Principal Analytics Analyst - Healthcare Data
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Surescripts
Romeoville, IL (In Person)
Full-Time
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Job Description
Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.
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. The Principal Analyst frequently operates as a subject matter expert, translating sophisticated analytics into compelling narratives and guiding the team toward scalable, reusable solutions.
ResponsibilitiesLead 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, 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.
QualificationsBasic 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.
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 \
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. The Principal Analyst frequently operates as a subject matter expert, translating sophisticated analytics into compelling narratives and guiding the team toward scalable, reusable solutions.
ResponsibilitiesLead 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, 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.
QualificationsBasic 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.
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 \