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Data Analytics Engineer Jobs in Warren, MI (NOW HIRING)

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 ...

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

Build, mentor, and lead high-performing global teams across data engineering, analytics, governance, and data science disciplines. * Establish scalable operating models and best practices for ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

Detroit, Hybrid Ideal candidate will have: * 3+ years in stakeholder-facing Data Engineering/Data Analytics position * Consulting experience * Databricks, Foundry, or Snowflake * Python, PySpark ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Warren, MI

Data Analytics Engineer information

See Warren, MI salary details

$41.8K

$121.8K

$166.7K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Warren, MI is $121,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Warren, MI?

The most popular types of Data Analytics Engineer jobs in Warren, MI are:

What are popular job titles related to Data Analytics Engineer jobs in Warren, MI?

For Data Analytics Engineer jobs in Warren, MI, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Warren, MI look for?

The top searched job categories for Data Analytics Engineer jobs in Warren, MI are:

What cities near Warren, MI are hiring for Data Analytics Engineer jobs?

Cities near Warren, MI with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,834 per year, or $58.6 per hour.

12V Battery - Data Analytics Engineer

Stellantis

Auburn Hills, MI • On-site

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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

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.

Our Benefits - Designed with You in Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We help you plan for the future with:

    • An employer match on contributions to your 401k, Roth, and Catch-Up plans
    • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.

Company Vehicle Lease Program

Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

    • Tuition reimbursement
    • Student loan refinancing programs
    • 18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career - you’re joining a company that supports you, inside and outside of work.

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