Serves as a Subject Matter expert (SME), technical and analytic integrator, responsible for designing, developing, and operationalizing advanced analytic solutions that drive strategic insight and organizational performance.
Combines strong data engineering fluency with analytical acumen transforming complex, multi-domain data (membership, encounters, providers, claims, quality metrics) into interpretable and actionable insights used by leaders across the health plan.
Emphasizes the development of insight rich, production ready analytic assets, delivering repeatable, governed analyses that illuminate key drivers of care quality, efficiency, and financial outcomes.
Designs and maintains reusable analytic data models and Extract, Transform, and Load (ETL) pipelines that support recurring insight generation and performance monitoring.
Leads development of advanced dashboards, reports, and analytic tools that surface trends, correlations, and performances opportunities across enterprise domains.
Partners with analysts, data scientists, and operational stakeholders to embed insights directly into workflows and decision processes.
Implements and maintains version control, peer review (pull request), and continuous integration practices for analytic codebases.
Ensures adherence to data lineage, governance, and reproducibility standards across all analytic products.
Supports enterprise level measure refresh cycles and ensures alignment with standardized data abstraction layers.
Drives continuous enhancement of the analytic ecosystem by integrating new data sources, improving data structures, and optimizing performance.
Translates analytic findings into business relevant narratives and partners with stakeholders to act on insights.

Requirements

Bachelor's Degree
At least 5 years of progressive analytics experience in healthcare, managed care, or related industries
Proven experience designing, developing, and operationalizing analytic solutions across multiple domains
Experience translating multi-domain analytics into actionable insights for leadership and enterprise-wide initiatives
Demonstrated successful experience in communicating insights effectively to senior leadership and executives
Experience with risk adjustment methodologies, including Hierarchical Condition Category (HCC) coding, hierarchical models, and member risk scoring.
Expertise in designing, building, and maintaining complex ETL pipelines and analytic data models that support enterprise reporting, dashboards, and predictive insights.
Advanced experience with BI tools (Tableau, Power BI) to design insight rich, production ready dashboards and analytic products.
Proficiency with SQL and/or Python/R for large-scale data manipulation, advanced analyses, and operationalization of analytic workflows.
Strong knowledge of version control (Git/GitHub) and CI/CD processes for analytic code and pipelines.
Deep understanding of managed care operations, such as capitation models, provider networks, utilization management, and quality incentive programs.

Benefits

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringanalytic solutionsETL pipelinesdata modelsrisk adjustment methodologiesHCC codingSQLPythonRBI tools

Soft Skills

analytical acumencommunicationcollaborationleadershipinsight translationorganizational performancestakeholder engagementproblem-solvingnarrative developmentcontinuous improvement

Certifications

Bachelor's Degree