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Freelance Data Analytics Engineer Jobs in Michigan

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

DATAMAXIS

Analytics Engineer/Data Analyst

Okemos, MI · On-site

We are seeking an experienced Analytics Engineer to join our team on a contract basis. In this role, you will be responsible for building and maintaining scalable analytics data pipelines ...

Premier Truck Rental

Senior Analytics Engineer

Detroit, MI

$103K - $142K/yr

Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Aptitude or interest in Automotive Engineering. ArcelorMittal Tailored Blanks is an Equal ...

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Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Michigan? The most popular types of Data Analytics Engineer jobs in Michigan are:
What are popular job titles related to Freelance Data Analytics Engineer jobs in Michigan? For Freelance Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Data Analytics Engineer jobs in Michigan look for? The top searched job categories for Freelance Data Analytics Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Data Analytics Engineer jobs? Cities in Michigan with the most Freelance Data Analytics Engineer job openings:
Freelance Data Analytics Engineer jobs near you
Infographic showing various Freelance Data Analytics Engineer job openings in Michigan as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

12V Battery - Data Analytics Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 2 days ago

New

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

Stellantis is seeking a Warranty Data Analytics Engineer to join the Electrical & Hardware Engineering In-Field Quality organization. The successful candidate will be responsible for identifying, investigating, and resolving in-field quality issues related to 12V Battery systems. This role plays a key part in enhancing customer satisfaction and reducing warranty claims by delivering timely root cause analysis, corrective actions, and preventative measures in collaboration with engineering and cross-functional teams. The data analytics engineer is fundamental to providing customized data aggregations that the quality team can leverage to perform triage investigations and statistical tracking of corrective actions.
This Quality Engineer role is ideal for candidates who are hands-on, technically curious, and passionate about delivering high-quality automotive products to customers. It offers the opportunity to work in a fast-paced, cross-functional environment and directly impact the customer ownership experience across Stellantis brands. Reliability, availability, and passion to deliver are characteristics the candidate is expected to demonstrate on a daily basis.
Key Responsibilities:
  • Monitor fleet and field data (warranty, connected vehicle data, CAN network logs) to detect emerging electrical issues across the Stellantis North America fleet.
  • Develop custom data sets to support identification of specific issue signatures defined by the engineering team
  • Collaborate with Quality to support their ability to properly classify 12V Battery related issues
  • Develop tools to analyze the various facets of 12V Battery / vehicle system quality.
  • Track and document issue status in relevant systems (i.e. GIMs) and ensure timely resolution and communication of progress.
  • Support validation and verification testing to ensure effectiveness of implemented fixes.
  • Support the Quality Management Leader with data analysis, reporting, and field performance reviews.

Basic Qualifications:
  • Bachelor's degree in Electrical Engineering from an ABET accredited university
  • Minimum of 5 years of experience in data engineering or quality roles
  • Strong analytical and problem-solving skills with a solid foundation in root cause analysis
  • Experience with Palantir and Databricks
  • Strong interpersonal skills and ability to collaborate across functional teams
  • Excellent verbal and written communication skills

Preferred Qualifications:
  • Master's degree in Electrical, Mechanical, or Computer Engineering
  • Familiarity with structured problem-solving tools such as 8D, FMEA, Fault Tree, Red X, or Shainin
  • Experience in field issue resolution or warranty reduction projects
  • Proficiency with diagnostic tools and data logging systems
  • Experience using quality analytics platforms such as Palantir
  • Knowledge of Stellantis internal tools and systems: Quantic, QFS, CDA tool, JDP, CNs, GIMs
  • Green Belt certification or other formal quality training

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