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data analytics Salary in michigan

Based on 188 active job postings in michigan  ·  Updated 2026

Min Salary
$140,000
per year
Average Salary
$187,300
per year
Max Salary
$234,600
per year
Jobs Found
188
active listings

✨ AI Compensation Insight SALARY INSIGHTS

Generating real-time market insights and estimated salary range for data analytics in michigan...

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Open data analytics Jobs in michigan 188

Principal Platform Software Engineer - Oracle Health Data & Analytics
Oracle Lansing, Michigan
$234600 / per year Full Time
Manager Customer Insights & Data Analytics
Ryder System, Inc. Lansing, Michigan
$140000 / per year Full Time
Data Analytics & Front‑End Dev for Purchasing Insights
Peugeot Sport (Stellantis Motorsport) Auburn Hills, Michigan
Full Time
Senior Technical Program Manager - Data Analytics Platform (Hybrid)
Ford Pro Dearborn, Michigan
Full Time
Head of Healthcare Data Analytics & Strategy
SwiftCruit Grand Rapids, Michigan
Full Time
Director, Data Analytics
SwiftCruit Grand Rapids, Michigan
Full Time
Data Engineer: Modernize Data & Analytics Stack
Yochana Troy, Michigan
Full Time
Lead Statistician - Data Analytics & Research (Hybrid/Remote)
University Of Michigan Ann Arbor, Michigan Remote
Full Time
Data Analytics Associate — Insights, Dashboards & Reporting
DTE Energy Detroit, Michigan
Full Time
Senior Scrum Master: Enterprise Data & Analytics Delivery
Initech Global Grand Rapids, Michigan
Full Time
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data analytics Salary FAQ

What is the average data analytics salary in michigan?
Based on 2 recent job postings, the average annual salary for a data analytics in michigan is approximately $187,300, with a range of $140,000 – $234,600.
How do I negotiate my data analytics salary?
Research comparable roles in your area, document your accomplishments, and arrive at negotiations with data. Use total compensation (base + bonus + equity + benefits) as your benchmark, not just base pay.
What factors affect data analytics compensation in michigan?
Key factors include years of experience, technical certifications, company size (startup vs. enterprise), industry (tech vs. finance vs. healthcare), and whether the role is remote-first or on-site in a high cost-of-living metro.