Healthcare Analyst III

Healthcare Analyst III

The Healthcare Analyst III serves as a strategic analytics partner supporting Medica's Lines of Business (LOB), including Medicare, Medicaid, Individual and Family Business (IFB), and Commercial. This role is responsible for leading the development and delivery of analytics across all LOBs-providing insights, reporting, and strategic recommendations to drive business performance. The ideal candidate combines strong analytics acumen with consultative and communication skills to influence decision-making across diverse business units.

Responsibilities:

• Act as a subject matter expert on healthcare analytics, providing advanced guidance on the interpretation and application of complex medical and pharmacy data.
• Lead the development of analytic frameworks that support client strategies, affordability initiatives, and operational performance improvement.
• Collaborate with internal stakeholders to translate business questions into analytic approaches aligned with strategic goals.
• Proactively identify emerging trends and opportunities through data exploration and advise leadership on implications and recommended actions.
• Serve as a key liaison between analytics and business teams, ensuring that insights are actionable, relevant, and integrated into decision-making processes.
• Translate complex data into clear, actionable insights and recommendations for business stakeholders.
• Ensure data integrity and consistency across reporting and analytic outputs.
• Respond to ad hoc analysis requests with timely, accurate, and insightful deliverables.
• Support internal teams with data interpretation, metric development, and performance tracking.
• Collaborate with cross-functional teams across the broader business.

Expectations:

• Advanced working knowledge of healthcare analytics, affordability metrics, and medical/pharmacy data trends.
• Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and statistical methods.
• Strong proficiency in data analysis tools (e.g., SAS, SQL, Python, R) and Microsoft Office applications.
• Demonstrated ability to extract, evaluate, and interpret complex data sets with strong analytical and problem-solving skills.
• Excellent written and verbal communication skills, capable of conveying complex information clearly and concisely to diverse audiences.
• Experience working both independently and collaboratively in cross-functional teams.
• Ability to function as a subject matter expert and mentor to other staff.
• Present findings to executive leaders, tailoring insights to strategic priorities.
• Employ best practices in storytelling and visualization to drive engagement and understanding.
• Design and implement benchmarking studies that inform strategic initiatives.

Required Qualifications

• Bachelor's degree or equivalent experience in related field
• 5 years of work experience beyond degree

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 range for this position is $77,100 - $132,200. 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.

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.