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Pbm Data Analyst Jobs in Madison, WI (NOW HIRING)

The ideal candidate will possess strong analytical skills, and an understanding of the healthcare and PBM landscape. Key Accountabilities * Data Mining and Report Development * Leverage analytical ...

Vice President, Clinical Pharmacy

Madison, WI · On-site

$130K - $171K/yr

Provide analysis of claims data and book-of-business metrics, translating trends into actionable ... in PBM management and health care benefit knowledge. Active unrestricted license to practice ...

Pbm Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137K

How much do pbm data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for pbm data analyst in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 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 cities near Madison, WI are hiring for Pbm Data Analyst jobs?

Cities near Madison, WI with the most Pbm Data Analyst job openings:

Infographic showing various Pbm Data Analyst job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.

$78K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.

We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued.

In this position, the Pharmacy Analytics Analyst will evaluate and assess pharmacy data to identify trends and opportunities. This specialized pharmacy healthcare analyst role will possess an understanding of pharmacy and medical claims, pharmacy drug pricing, pharma rebates, drug life-cycle, drug pipeline, and PBM contracting elements. The Pharmacy analyst will determine requirements, create standards and/or define metrics to ensure complete and accurate pharmacy reporting. The analyst will provide Insight and recommendations using quantitative analysis and/or statistical analysis coupled with explanatory and predictive modeling to drive focused decision making. The ideal candidate will possess strong analytical skills, and an understanding of the healthcare and PBM landscape. 

Key Accountabilities

  • Data Mining and Report Development 
    • Leverage analytical tools in the collection, analysis and reporting of pharmacy data, pharmacy trends, and key performance metrics
  • Data Analysis and Report Development
    • Utilize statistical methods and data analysis tools to identify trends in pharmacy claims and other pharmacy data and key performance indicators
    • Demonstrate knowledge of components of trend for pharmacy and medical reporting and turn into actionable insights
    • Create and present comprehensive reports that summarize findings, highlight trends and provide actionable insights to stakeholders
  • Documentation
    • Document report development and data processes into formal process and procedure artifacts
  • Continuous Improvement & Training and Development
    • Stay informed about industry trends, emerging technologies, and best practices in pharmacy healthcare to drive continuous improvement within the pharmacy trend management processes
    • Provide training and support to team members on data analysis tools and methodologies, fostering a culture of learning and professional development
  • Cross Department Collaboration
    • Facilitate collaboration with various stakeholders including, clinical, financial, actuary, provider, network, and operations

Specific types of experience or skills required:    

  • Technical Skills: Proficiency in data analysis tools and software (e.g. Microsoft Excel, Tableau, SQL, SAS or similar).
  • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
  • Proficient in report development and automation tools. Demonstrated ability to created comprehensive, visually engaging reports that effectively communicate data insights.

Required Qualifications

  • A minimum of 5 years of experience in pharmacy healthcare analytics, with a focus on data analysis or trend management.

Specific types of experience or skills required

  • Technical Skills: Proficiency in data analysis tools and software (e.g. Microsoft Excel, Tableau, SQL, SAS or similar).
  • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
  • Proficient in report development and automation tools. Demonstrated ability to created comprehensive, visually engaging reports that effectively communicate data insights.

This position is an Office role, which requires an employee to work onsite, on average, 3 days per week. We are open to candidates located near one of the following office locations: Minnetonka, MN, or Madison, WI.

The full salary grade for this position is $78,700 - $134,900. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $78,700 - $118,020. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.