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Pbm Data Analyst Jobs in Michigan (NOW HIRING)

Epitec, Inc.

Health Care Analyst

Detroit, MI · On-site

Responsible for identifying, collecting, analyzing, and maintaining data to evaluate issues that ... Knowledge of BCBSM's prescription drug programs and the PBM industry is a plus. Additional ...

Bcbsa

Director, Trade Client Relations

Three Rivers, MI · On-site +1

$155K - $175K/yr

Analytics Team - Collaborate on drug trends and utilization data to inform clinical policy ... Experience within the PBM industry, Medicaid, Medicare, and health plans * Experience with contract ...

AccumTech

System Administrator

Ann Arbor, MI · On-site

... analysis and remediation for infrastructure issues. • Manage backup, restore, and disaster ... AccumTech has a unique style of managing data that allows for each carrier, PBM or TPA to be their ...

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All JobsPbm Data Analyst JobsPbm Data Analyst Jobs in Michigan

Pbm Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do pbm data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for pbm data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What is a PBM data analyst?

A PBM Data Analyst is a professional who analyzes data related to Pharmacy Benefit Managers (PBMs), which are companies that manage prescription drug benefits on behalf of health insurers, Medicare Part D drug plans, large employers, and other payers. These analysts collect, process, and interpret large sets of pharmacy and claims data to help organizations optimize drug spending, ensure regulatory compliance, and improve patient outcomes. They often use statistical tools and data visualization software to identify trends, support business decisions, and generate reports for stakeholders. Strong analytical skills, attention to detail, and knowledge of healthcare and pharmacy data are essential for this role.

What are the key skills and qualifications needed to thrive as a PBM data analyst, and why are they important?

To thrive as a PBM Data Analyst, you need strong analytical skills, expertise in data management, and a background in pharmacy benefit management or healthcare analytics, often supported by a relevant degree. Proficiency in SQL, data visualization tools (such as Tableau or Power BI), and familiarity with PBM software systems are typically required. Attention to detail, problem-solving ability, and effective communication are essential soft skills for this role. These competencies are critical for accurately interpreting complex pharmacy data, informing business decisions, and ensuring regulatory compliance within the PBM industry.

What are the common challenges faced by PBM data analysts in ensuring data accuracy and compliance?

PBM Data Analysts often encounter challenges related to the integration and validation of large, complex datasets from multiple pharmacy benefit management systems. Ensuring data accuracy requires meticulous attention to detail and frequent cross-checking with regulatory requirements, as errors can impact patient care and contractual compliance. Analysts must also stay updated on evolving healthcare regulations and privacy laws, which adds complexity to their data management responsibilities. Collaboration with IT, compliance, and clinical teams is crucial to overcome these challenges and maintain high data integrity.

What is the difference between Pbm Data Analyst vs Pbm Data Analyst?

AspectPbm Data AnalystPbm Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like CAP or Microsoft Certified Data AnalystBachelor's degree in relevant field; certifications such as CAP or Microsoft Certified Data Analyst are common
Work EnvironmentHealthcare or pharmaceutical companies analyzing medication data and patient informationHealthcare or pharmaceutical settings focusing on medication management and data reporting
Employer & Industry UsageUsed by healthcare providers, pharmaceutical companies, and health plansCommonly employed in healthcare organizations, pharmaceutical firms, and health insurance companies

The Pbm Data Analyst primarily focuses on analyzing pharmacy benefit management data to optimize medication costs and patient outcomes. Since both titles are identical, the comparison emphasizes the typical roles, credentials, and work environments associated with Pbm Data Analysts in healthcare and pharmaceutical industries.

What are popular job titles related to Pbm Data Analyst jobs in Michigan?

For Pbm Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Pbm Data Analyst jobs in Michigan look for?

The top searched job categories for Pbm Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Pbm Data Analyst jobs?

Cities in Michigan with the most Pbm Data Analyst job openings:

Pbm Data Analyst jobs near you
Infographic showing various Pbm Data Analyst job openings in Michigan as of June 2026, with employment types broken down into 2% Internship, 5% As Needed, 66% Full Time, 3% Temporary, and 24% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Healthcare SAS Programmer/Data Analyst

Palnar

Southfield, MI • On-site

Full-time

Re-posted 4 days ago

Job description

Top 3 Required Skills/Experience:
Minimum of five years of SAS and SQL programming to create reports and dashboards.
Working with large data sources and analyzing pharmacy data
Analytical experience in the pharmacy services division and with PBM
Required Skills/Experience:
Ability to design and develop SharePoint site and use Dundas charts/excel web services, Access, and SAS data sources.
Knowledge of PBM systems and tools.
Excellent analytical, planning, problem solving, verbal, and written skills to communicate complex ideas.
Excellent knowledge and use of existing software packages (PowerPoint, Excel, Word, etc.).
Strong working knowledge of data languages such as SAS or SQL.
Ability to work independently, within a team environment, and communicate effectively with employees at all levels.

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