Healthcare Data Analyst

Health insurance that's with you, every step of the way. • Minnetonka, MN

7h • Hybrid

About The Position

The Healthcare Data Analyst performs intermediate-level analytical work evaluating medical, financial, and operational data to support organizational decision-making. The role uses established analytical techniques to identify trends, assess performance, and produce reliable reports and insights. With developing autonomy, the analyst interprets results, explains findings to partners, and resolves moderately complex analytical questions. The position supports team objectives by delivering accurate analyses, strengthening reporting consistency, and contributing to improvement initiatives across healthcare programs. Other duties may be assigned.

This is an office role requiring onsite work an average of three days per week. Candidates may be located near the Minnetonka, Minnesota, or Madison, Wisconsin, office.

Requirements

• Bachelor's degree or equivalent experience in a related field.
• At least 3 years of experience beyond degree.

Nice To Haves

• At least 3 years of work experience beyond degree in healthcare analytics or data roles within the healthcare or insurance industries, focused on employer group or client stakeholders.
• At least 1 year of experience using SQL, SAS, or Snowflake programming.
• Proficiency in data analysis tools and visualization techniques or software, such as Qlik Sense, Power BI, or Tableau.
• Experience with John Hopkins ACG Grouper, Milliman HCG Grouper, or Symmetry ETG Grouper.

Responsibilities

• Conduct quantitative analyses and basic modeling to assess medical cost, utilization, and operational performance.
• Apply established statistical methods and tools under defined guidelines.
• Interpret results, identify key drivers, and validate outputs for accuracy.
• Summarize findings in clear, structured formats for review and discussion.
• Prepare and maintain standard reports, dashboards, and monitoring tools.
• Apply defined data requirements and metric definitions consistently.
• Perform data validation and reconciliation to ensure reporting integrity.
• Recommend incremental improvements to reports or analytical processes.
• Evaluate claims, utilization, pharmacy, or operational data to identify patterns.
• Compare actual experience to expectations and explain variances.
• Quantify preliminary financial or operational impacts of observed trends.
• Develop charts and summaries that highlight actionable insights.
• Respond to questions from Finance, Operations, Clinical, or Product partners.
• Support cross-functional projects through data preparation and analysis.
• Explain methodologies and results with growing confidence and independence.
• Document assumptions, methods, and limitations for transparency.
• Follow best practices in coding, data handling, and documentation.
• Incorporate feedback to improve analytical quality and efficiency.
• Share observations that support process or reporting enhancements.
• Continue developing technical and healthcare domain expertise.

Benefits

• Competitive medical, dental, and vision benefits.
• PTO and holidays.
• Paid volunteer time off.
• 401K contributions.
• Caregiver services.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level