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Strong Tier-1 brand, mid-level generalist analytics role in metro markets increases applicant competition.
Strong preference for behavioral-health analytics and clinical experience limits cross-industry transferability.
Explicit 5+ years, advanced degree, and domain-specific analytics plus SAS/SQL requirements increase filtering strictness.
Analyze behavioral health and substance abuse data to identify trends, inform business decisions, and improve care.
Develop and refine analytical models for member targeting, customer segmentation, and program outcome measurement.
Lead projects including test and pilot program design, authoring white papers, and presenting findings at industry conferences.
MS, MA, or PhD in quantitative disciplines such as Mathematics, Statistics, Economics, Epidemiology, Engineering, Computer Science, or Operations Research.
Minimum 5 years of experience in healthcare analytics related to behavioral health.
Location requirement: Must reside within commuting distance of designated office locations (Illinois, Virginia) due to hybrid work policy.
Strong skills in SAS or SQL are mandatory; additional skills in Python, Tableau, Snowflake, Power BI, and AI/ML are preferred.
Experienced with behavioral health data analytics, especially mental health, behavioral health, and substance use disorder datasets.
Capable of presenting analytical insights clearly to business leaders and collaborating cross-functionally.
Skilled in developing segmentation and targeting strategies that integrate analytics with clinical and operational considerations.