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Automotive Data Analyst Jobs in Michigan (NOW HIRING)

The ideal candidate will have experience working in a complex, multi-site automotive manufacturing ... Leverage other data analysis tools and techniques as needed. * Maintain and improve existing Qlik ...

The ideal candidate will have experience working in a complex, multi-site automotive manufacturing ... Leverage other data analysis tools and techniques as needed. * Maintain and improve existing Qlik ...

Experience working with syndicated automotive data sources (J.D. Power, S&P/IHS, Experian, Polk). * Strong analytical and diagnostic problem-solving skills. * Comfort working with large transaction ...

Software Developer C C++

Allen Park, MI · On-site

$44.75 - $60.25/hr

Company Description Control-Tec, an Aptiv Automotive company, is a global provider of telematics ... This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ...

Software Developer C C++

Allen Park, MI · On-site

$44.75 - $60.25/hr

Company Description Control-Tec, an Aptiv Automotive company, is a global provider of telematics ... This unmatched expertise of both vehicle systems and data analytics uniquely positions Control-Tec ...

... automotive, and consulting. You will help ensure customer and enterprise data are efficiently ... Analyze customer and stakeholder needs to identify applicable privacy requirements and approval ...

Showing results 21-40

Automotive Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do automotive data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for automotive data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What does an automotive data analyst do?

An Automotive Data Analyst collects, processes, and interprets data related to vehicle performance, sales, customer behavior, and market trends. They use statistical tools and data visualization techniques to provide insights that help improve vehicle design, optimize supply chains, and enhance customer experiences. Analysts work with large datasets from sensors, telematics, and business systems to identify patterns and support strategic decision-making. Their role is crucial in improving efficiency, reducing costs, and driving innovation in the automotive industry.

What are the key skills and qualifications needed to thrive as an automotive data analyst?

To thrive as an Automotive Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, engineering, or a similar field. Experience with data visualization tools (such as Tableau or Power BI), programming languages (like Python or R), and knowledge of automotive industry databases is highly desirable. Effective communication, attention to detail, and problem-solving abilities are key soft skills that help you interpret complex data and present actionable insights. These skills are crucial for driving informed decisions within automotive companies, optimizing processes, and enhancing vehicle performance and customer experience.

What are the most commonly searched types of Automotive Data Analyst jobs in Michigan? The most popular types of Automotive Data Analyst jobs in Michigan are:
What are popular job titles related to Automotive Data Analyst jobs in Michigan? For Automotive Data Analyst jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Automotive Data Analyst jobs in Michigan look for? The top searched job categories for Automotive Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Automotive Data Analyst jobs? Cities in Michigan with the most Automotive Data Analyst job openings:
Infographic showing various Automotive Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Data Engineer - Vehicle Configuration Optimization

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Posted 20 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers


Job description

We are seeking a Data Engineer to help build and scale the data foundation for our Vehicle Configuration Optimization (VCO) initiative. This role will focus on ingesting, transforming, and structuring data from enterprise systems (e.g., Snowflake data lake) into Databricks, enabling advanced analytics and modeling downstream.
This is an ideal role for an early-to-mid career engineer who thrives in building reliable, scalable data systems and wants to work at the intersection of automotive data and advanced analytics.
Key Responsibilities:
  • Build and maintain data pipelines that ingest data from Snowflake into Databricks
  • Design and implement data transformations aligned to the medallion architecture (Bronze/Silver/Gold layers)
  • Ensure pipeline health, stability, monitoring, and performance optimization
  • Develop robust ETL/ELT workflows using Python and SQL
  • Create clean, curated datasets to support analytics, simulation, and machine learning use cases
  • Partner closely with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data quality checks, validation processes, and governance standards

Basic Qualifications:
  • Minimum 5 years of experience in data engineering or similar role
  • Bachelors Degree
  • Strong hands-on experience with Databricks (critical requirement)
  • Proficiency in SQL and Python
  • Experience building and maintaining data pipelines and ETL processes
  • Familiarity with cloud data platforms (Azure preferred, but AWS/GCP acceptable)
  • Solid understanding of data modeling and medallion architecture concepts

Preferred Qualifications:
  • Experience with Snowflake and data lake architectures
  • Exposure to automotive, connected vehicle, or IoT datasets
  • Experience with Spark / PySpark
  • Familiarity with pipeline orchestration and monitoring tools

Understanding of downstream analytics or ML use cases

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