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Data Engineer Data Analyst Jobs in Detroit, MI (NOW HIRING)

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... modern analytics, automation and AI-enabled solutions. This role will lead cross-functional ... Data engineering exposure: pipelines, transformations, data modeling concepts, and working with ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: Our preferred ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. * Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. Monitor data platform performance and identify opportunities for optimization and improvement.

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of Business Intelligence and Advance Analytic objectives. The Data Engineer handles leading and delivering ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

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 ...

Showing results 21-40

Data Engineer Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

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

As of Aug 10, 2026, the average yearly pay for data engineer data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Detroit, MI? For Data Engineer Data Analyst jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Detroit, MI look for? The top searched job categories for Data Engineer Data Analyst jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Engineer Data Analyst jobs? Cities near Detroit, MI with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Safety Field Investigations - Data Analyst

General Motors

Warren, MI • Hybrid

Full-time

Posted 9 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,273 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

The Safety Field Investigations (SFI) Data Analyst supports Global Field Action Execution by leading data analysis, reporting, and data pipeline activities that improve field action decision-making and operational execution. This role builds on the current SFI Analyst scope by combining VIN population analysis, cost modeling, internal reporting, and database support with modern data engineering and visualization capabilities.

The ideal candidate brings strong analytical and problem-solving ability, works effectively across global teams, and can translate complex operational and engineering data into actionable business insights.

What You'll Do (Responsibilities):

  • Lead field action VIN population analysis and definition to determine vehicle eligibility, support customer contact strategy, and help complete required documentation.
  • Design, maintain, and improve data pipelines and data workflows that support field action analytics, reporting, and operational decision-making.
  • Perform data preprocessing, cleansing, validation, and feature engineering to improve data quality and usability for analysis.
  • Develop cost estimates and analytical models to support corporate financial accruals and business planning.
  • Create and distribute internal field performance and field action communications for global and regional stakeholders.
  • Support the administration, enhancement, and data governance of the Global SFI database and related analytical tools.
  • Build dashboards, scorecards, and self-service reporting solutions using Tableau and Power BI to monitor field action performance and trends.
  • Use SQL, Databricks, Hadoop, Pandas, and NumPy to analyze large datasets, automate recurring analysis, and generate actionable insights.
  • Partner with engineering, operations, and global teams to solve complex problems, align on data definitions, and drive consensus on key decisions.
  • Apply knowledge of automotive engineering terms, systems, and components to interpret data and support field action execution.

Your Skills & Abilities (Required Qualifications):

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field; equivalent relevant experience may be considered.
  • 5+ years of related experience or demonstrated proficiency in analytical and technical roles.
  • Strong oral and written communication skills.
  • Strong interpersonal skills and the ability to work effectively with cross-functional and global partners.
  • Demonstrated ability to work independently, solve highly complex problems, and lead teams to consensus when needed.
  • High level of analytical ability, especially when working with unusual or difficult problems.
  • Strong experience with SQL and data analysis in large, complex datasets.
  • Hands-on experience with data engineering and big data environments such as Databricks and Hadoop.
  • Experience building and maintaining data pipelines and performing data preprocessing and feature engineering.
  • Experience creating dashboards and visual analytics using Tableau and Power BI.
  • Proficiency with Python-based analytics tools such as Pandas and NumPy.
  • Strong estimating, planning, and organizational skills.

What Can Give You a Competitive Edge (Preferred Qualifications):

  • Experience with automotive components and systems.
  • Experience with GM systems such as QDAP and other performance integration-related applications.
  • Experience with GM Data Structure
  • Advanced proficiency in Excel, Access, or other analytical tools.
  • Good project management skills.
  • Experience developing enterprise data models, automated reporting, or scalable analytics solutions in operational environments.

#LI-KE2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908