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data analytics Salary in michigan

Based on 188 active job postings in michigan  ·  Updated 2026

Min Salary
$135,000
per year
Average Salary
$150,600
per year
Max Salary
$166,200
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

Global Total Cost and TVM Data Analytics Engineer
Ford Motor Company Allen Park, Michigan
$166200 / per year Full Time
Remote Senior Data Analytics Engineer - BI & Dashboards
Maximus Lansing, Michigan Remote
$135000 / per year Full Time
Global Total Cost and TVM Data Analytics Engineer
Gravity Engineering Services Pvt Ltd. Allen Park, Michigan
Full Time
Global Data Analytics Engineer: Cost & TVM Pipelines
Gravity Engineering Services Pvt Ltd. Allen Park, Michigan
Full Time
Power BI Data Analytics Specialist - Cost Optimization
Optimal Staffing Dearborn, Michigan
Full Time
Data Analytics Consultant
Mutually Human Grand Rapids, Michigan
Full Time
ESG & Sustainability Co‑Op: Data Analytics & Impact
Nexteer Auburn Hills, Michigan
Full Time
Strategic BI Leader: Enterprise Data & Analytics
Alliance Franchise Brands Plymouth, Michigan
Full Time
Senior Data Architect: Enterprise Data & Analytics
University of Michigan Ann Arbor, Michigan
Full Time
Data Analytics Manager, Portfolio Planning
Stellantis Auburn Hills, 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 $150,600, with a range of $135,000 – $166,200.
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.