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Data Analyst

Zimmerman Reed

80 South 8th Street, Minneapolis, MN 55402

Hybrid work

Full-time

Benefits

Pulled from the full job description

AD&D insurance
Parental leave
401(k)
Health insurance
Paid time off
Vision insurance
Health savings account

Full job description

Job Overview
We're looking for a curious, detail-drive Data Analyst to join our Minneapolis team and help us transform raw data into the insights that shape our cases and our business.

This is an entry-level role built for someone who's ready to learn fast, work alongside experienced analysts, and see firsthand how data supports meaningful legal work.

What You'll Do

Collect, clean, and organize data from a range of sources - accuracy and completeness are everything.
Create reports, dashboards, and visualizations that turn complex information into something teams across the firm can actually use.
Support deeper projects with rigorous analysis and a fresh perspective.
Run quality checks, troubleshoot discrepancies, and keep our outputs trustworthy.
Maintain clear records of sources, methods, and processes so your work is transparent and reproducible.

Skills

Advanced Microsoft Excel skills, including pivot tables and statistical functions
Working knowledge of SQL for data extraction and manipulation
Familiarity with Tableau, Power BI, or similar visualization tools
A solid grasp of fundamental statistics and analytical methods
Strong attention to detail and commitment to accuracy
Excellent problem-solving abilities and analytical thinking
Effective communication skills, both written and verbal
Ability to work collaboratively in a fast-paced, team-oriented environment

Education Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.

Why Zimmerman Reed

We're a recognized leader in complex and class action litigation, which means the work you do here matters. You'll be supported by other data analysts and a firm that is invested in your growth, working on projects that connect data to real outcomes for real people.

How to Apply

Send us your resume and a brief cover letter telling us why this role and our work resonate with you.

Benefits: