Data Analyst
1 month ago
Your Role
The Risk Adjustment Prospective team (aka ProsPr) focused on transforming health care by making it more accessible, affordable and customer-centric. The Health Data Analyst, Senior will report to the Senior Manager of Risk Adjustment. In this role you will lead the data reporting and analytics for the team while supporting the In-Home Visit program (IHV) and In-Office Assessment program (IOA). This includes interaction within the Risk Adjustment team, with various cross-functional teams within Blue Shield, Blue Shield IPA/MG, working directly with our vendors and supporting our programs with all data related. The ideal candidate possesses excellent interpersonal skills, project management skills, organizational skills, has high attention to detail, and is self-motivated. The candidate will also possess a desire to continually learn.
Your Knowledge and Experience
- Requires an MPH, MBA, MS, MA in science, social science, public health, health svcs research or business, or BA/BS with demonstrated equivalent work experience. PhD preferred.
- Requires minimum 5 years of prior relevant experience.
- Requires 3-5 years' experience in Health Care (managed care, academic, or gov't payer), prefers demonstrated ability to work with all clinical coding systems (e.g., ICD10, CPT, DRG, LOINC, RxHUB).
- MS Office, esp. Excel and Access, MS Teams, OneNote, SQL/PLSQL via SAS. Must be able to develop new SQL scripts that improve the efficiency of the work. Familiarity with visualization tools such as Tableau.
- Strong analytical and problem-solving skills. Strong presentation skills.
- Typically, requires advanced knowledge of job area typically obtained through advanced education combined with experience. May have practical knowledge of project management.
Pay Range
The pay range for this role is: $ 87230.00 to $ 130900.00 for California.
Note
Please note that this range represents the pay range for this and many other positions at Blue Shield that fall into this pay grade. Blue Shield salaries are based on a variety of factors, including the candidate's experience, location (California, Bay area, or outside California), and current employee salaries for similar roles.
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