Provides advanced technical and analytical support for Trinity Health's Payer Strategy & Product Development Department.
Work assignments require in depth knowledge of financial and clinical analyses and cost and utilization trends related to payers, employers, and health plan data.
Develops, implements and utilizes databases and reporting tools to extract data, generate reports, perform complex data analysis.
Conducts impact analyses and modeling, assesses utilization trends, identifies risks, develops projections, prepares recommendations for management review.
Uses data manipulation coding (i.e., SAS, SQL & R) to extract claims and membership data to support advanced healthcare analytics.
Participates on teams that develop process improvement initiatives which enhance the performance of payer claims analysis.

Requirements

Bachelor’s degree in Computer Science, Healthcare Business Informatics, Math, Statistics, Economics or related field or an equivalent combination of education and related experience.
Three (3) to five (5) years of progressively responsible operational or consulting experience in managed care data and statistical analysis, and payer analytics reporting.
Knowledge and experience gained from health plan, health system, the healthcare industry or a provider health network is required.
Knowledge of relational database principles and coding, examples include: SQL, SAS, R, Crystal, Cognos, PowerPlay, and Business Objects.
High Proficiency with Microsoft product suite (MS Word, Excel, Power Point, Access and Visio), financial systems/software, relational database management and business intelligence reporting tools.
Must possess a high degree of analytical, quantitative, evaluative and problem solving skills.
Knowledge of medical terminology and coding methodologies Including HCPC, CPT, RBRVS, Diagnosis (ICD-10), DRG's required.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

SASSQLRdata analysisfinancial analysisstatistical analysisdata manipulationimpact analysismodelingprojections

Soft Skills

analytical skillsquantitative skillsevaluative skillsproblem solvingcommunication skills