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Full Stack Data Analyst Jobs in Michigan (NOW HIRING)

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ...

Full Stack Data Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

We are seeking a talented and driven Full Stack Data Engineer to join our product team. In this ... Develop exceptional analytical data products applying solid data warehouse principles, data ...

Full Stack Data Engineer

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

Demonstrated problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively. * Ability to work independently while contributing effectively as part ...

... data processing, analytics, and reporting use cases * Enable business reporting and insight ... Experience in full stack software engineering or application development * Strong hands-on ...

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Showing results 1-20

Full Stack Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do full stack data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for full stack 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 is the difference between Full Stack Data Analyst vs Data Scientist?

AspectFull Stack Data AnalystData Scientist
Required SkillsData analysis, visualization, basic programming, SQL, reportingAdvanced programming, statistical modeling, machine learning, data engineering
Work EnvironmentBusiness teams, analytics departments, reporting toolsResearch teams, data science departments, AI/ML projects
CertificationsData analysis, SQL, Excel certificationsData science, machine learning, Python/R certifications
Industry UsageBusiness intelligence, marketing, financeResearch, AI development, predictive modeling

While both roles involve working with data, Full Stack Data Analysts focus on end-to-end data analysis and reporting within business contexts, whereas Data Scientists develop advanced models and algorithms for predictive insights. The roles often overlap in skills like SQL and programming, but Data Scientists typically require deeper expertise in statistical methods and machine learning.

What is a full stack data analyst?

A full stack data analyst is a professional who handles all aspects of data analysis, including data collection, cleaning, visualization, and reporting, often using tools like SQL, Python, or Tableau. They possess skills across data management, analysis, and presentation, enabling them to work independently through the entire data workflow.

What are popular job titles related to Full Stack Data Analyst jobs in Michigan?

For Full Stack Data Analyst jobs in Michigan, the most frequently searched job titles are:

Infographic showing various Full Stack Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Full-time

Re-posted 2 days ago


Job description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!

Required Experience (Must Have)

  • Expert Python Developer

  • Strong SQL Developer

  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

  • Strong Automation Experience 

  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) 

  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

  • Experience with Git and Azure DevOps

  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

  • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

  • Experience with Automotive Data / Industry

  • Experience with Agile / Scrum

Primary Responsibilities

  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

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