Business Analytics Analyst
Blue Cross Blue Shield of Michigan

Blue Cross Blue Shield of Michigan (BCBSM) has a Business Analytics Analyst opportunityavailablewithin our UAW Trust Consulting & Reporting area, which is part of the Analytics Center of Excellence (ACoE).

About the Role

Responsible for analyzing data to inform key strategic business decisions. Under general supervision, performs descriptive analyses, develops savings models, and evaluates program outcomes and size potential opportunities. Works across teams of data engineers and data scientists to identify and present actionable data to clinical and financial stakeholders.

Please Note: Hybrid work structure, which requires working 2-days per week on-site (Tuesday and Wednesday) at our downtown Detroit office - we provide free parking.

In this Business Analytics Analyst opportunity, you will:

• Support the translation of business ideas to working hypotheses
• With supervision, produce statistical analyses and visualizations from the broader analysis plan
• Identify and analyze data patterns to test business and program hypotheses
• Perform data querying and manipulation of structured and unstructured data sets
• Support the synthesis of analysis results into insights for business decisions

QUALIFICATIONS

• Bachelor's Degree in Statistics, Economics, Actuarial Science, Informatics, Epidemiology, Biostatics, Data Science, or other related field is required
• A minimum of one (1) year of related work experience
• Previous experience programming (at least one of: Python, R, SQL, SAS) is required
• Previous experience working in the healthcare industry is preferred
• Basic knowledge of how health care claims are billed and how the health system works
• Strong analytical, organizational, and problem-solving skills
• Basic knowledge about different evaluation study designs (i.e., case-control, cohort), methodologies for controlling for population differences in studies (i.e., regression analysis, propensity score matching), and programming (SQL, SAS, R or Python)
• Basic knowledge of statistical testing techniques (i.e. ANOVA t-tests, chi-squared, etc.)
• Intermediate skills in Microsoft Office
• Ability to develop creative solutions to problems lacking clear parameters
• Ability to effectively interface and present to management at all levels of the organization
• Ability to work independently and in a team environment
• Positive attitude, adaptable to change

All qualified applicants will receive consideration for employment without regard to, among other grounds, race, color, religion, sex, national origin, sexual orientation, age, gender identity, protected veteran status or status as an individual with a disability.

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