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Mechanical Engineer Data Analyst Jobs in Michigan

Develop concept designs, feasibility studies, system trade analyses, and define performance targets ... Manage engineering data, file structures, and changes within SolidWorks PDM. * Present project ...

Develop concept designs, feasibility studies, system trade analyses, and define performance targets ... Manage engineering data, file structures, and changes within SolidWorks PDM. * Present project ...

Mechanical Engineer

Novi, MI · On-site

$70 - $90/hr

Mechanical Engineer (A123 Systems LLC; Novi, MI): The Mechanical Engineer is responsible for ... Conducting experiments methodically, analyzing data and interpreting results. Working with:

New

Conduct engineering calculations, tolerance analyses, and design validation activities to ensure ... Utilize ERP and PLM systems to manage product data, documentation, and project information ...

Analyze existing product designs to propose improvements in performance, reliability, ease of ... Ability to evaluate appropriate data and make sound decisions * Strong written, verbal, and ...

The Data Analyst / Front‑End App Developer is responsible for designing, building, and maintaining analytics and front‑end data applications that support Purchasing data products.​ The role ...

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

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Showing results 1-20

Mechanical Engineer Data Analyst information

See Michigan salary details

$39.7K

$89.7K

$145.1K

How much do mechanical engineer data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for mechanical engineer data analyst in Michigan is $89,668.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $110,300.00 per year, depending on experience, location, and employer.

What is a mechanical engineer data analyst?

A Mechanical Engineer Data Analyst is a professional who combines expertise in mechanical engineering with data analysis skills to interpret and utilize data related to mechanical systems and processes. They collect, analyze, and visualize data to optimize designs, improve system performance, and support decision-making in engineering projects. This role often involves using specialized software and programming languages to process large datasets, conduct simulations, and identify trends or inefficiencies. Mechanical Engineer Data Analysts play a crucial role in industries such as manufacturing, automotive, aerospace, and energy by helping organizations leverage data for improved engineering outcomes.

What are the key skills and qualifications needed to thrive as a mechanical engineer data analyst?

To thrive as a Mechanical Engineer Data Analyst, you need a solid background in mechanical engineering principles, data analysis, and a relevant engineering degree. Familiarity with CAD software, data analysis tools like MATLAB or Python, and experience with databases or statistical software are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this hybrid role. These competencies enable professionals to extract actionable insights from engineering data, driving innovation and efficiency in mechanical systems.

How do mechanical engineer data analysts typically collaborate with cross-functional teams in an engineering project?

Mechanical Engineer Data Analysts frequently work alongside design engineers, manufacturing teams, and quality assurance professionals to interpret and present data that informs design decisions and optimizes processes. They often participate in project meetings to translate complex data findings into actionable engineering insights, ensuring that teams are aligned on performance metrics and improvement opportunities. This collaborative approach not only supports project goals but also enhances communication across departments, making data-driven decision-making a core part of the engineering workflow.

What job categories do people searching Mechanical Engineer Data Analyst jobs in Michigan look for?

The top searched job categories for Mechanical Engineer Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Mechanical Engineer Data Analyst jobs?

Cities in Michigan with the most Mechanical Engineer Data Analyst job openings:

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 6 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

13th of 45 rated automakers


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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