Analyze and interpret complex clinical, claims, and risk‑adjustment datasets to support enterprise decision‑making and drive strategic initiatives
Perform advanced statistical analysis, data mining, and predictive modeling to produce actionable insights from large datasets
Identify trends, patterns, and correlations, including those related to Medicare Advantage risk‑adjusted performance, HCC prevalence, Chronic Condition recapture, and RAF scoring
Design and develop reports, dashboards, and visualizations using BI tools to communicate insights to stakeholders
Ensure data integrity, quality, and consistency through effective data management strategies
Conduct encounter validation, coding quality checks, and analyses for risk‑adjustment completeness and data gaps
Analyze existing SAS scripts to understand business logic and convert or rewrite them into Python, R, or cloud‑native tools
Apply cloud‑based data engineering and analytics using platforms such as AWS or GCP

Requirements

Minimum of 1 year of experience working with tools such as SAS, SQL, and scripting languages like Python or R, with a strong understanding of data manipulation and analysis techniques
Minimum of 1 year of experience working in a healthcare environment
Proven experience with cloud platforms such as AWS or GCP, including at least one year of hands-on experience deploying and managing data solutions
Working knowledge of problem solving and decision making skills

Benefits

Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching
Benefit solutions that address different needs and preferences including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access

Applicant Tracking System Keywords

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

Hard Skills & Tools

statistical analysisdata miningpredictive modelingdata manipulationSASSQLPythonRcloud-based data engineeringdata analysis techniques

Soft Skills

problem solvingdecision making