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Data Analyst Contractor Jobs in Michigan (NOW HIRING)

Job#: 3029487 Data Analyst - Manufacturing & Applied Machine Learning Location: Warren, MI (Hybrid ... and contracted partners. Frequency varies for text messages. Message and data rates may apply.

Contract and Data Analyst (Managed Care)

Yale, MI · On-site

$61K - $74K/yr

Experience with health plan insurance contracting and reimbursement for providers and facilities ... Develops, produces, and maintains data sets required for contract analysis. Develops and maintains ...

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Data Analyst Contractor information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data analyst contractor jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data analyst contractor 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.

How does a Data Analyst Contractor typically integrate with full-time teams, and what collaboration challenges might arise?

As a Data Analyst Contractor, you’ll often work closely with full-time team members such as business analysts, data engineers, and project managers, but you may not be involved in all internal meetings or long-term strategy sessions. Effective communication and proactive relationship-building are crucial, as contractors sometimes face challenges accessing all relevant data or context due to their temporary status. To succeed, it’s important to clarify expectations upfront, leverage available documentation, and regularly sync with stakeholders to ensure alignment and smooth workflow integration.

What are the key skills and qualifications needed to thrive as a Data Analyst Contractor, and why are they important?

To thrive as a Data Analyst Contractor, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Excel, Tableau, and programming languages such as Python or R, along with knowledge of data privacy regulations, is typically required. Excellent problem-solving, communication, and time management skills help you interpret data insights and deliver results to diverse clients. These competencies ensure accurate, actionable analysis and successful project completion in dynamic contract environments.

What does a Data Analyst Contractor do?

A Data Analyst Contractor is a professional hired on a temporary or project basis to analyze, interpret, and visualize data for organizations. They collect and process large datasets, identify trends and patterns, and provide actionable insights to help businesses make informed decisions. Contractors may work across various industries and are often responsible for delivering specific data-driven solutions within a set timeframe. Their work can involve using statistical tools, creating reports, and collaborating with other teams to meet project goals.
What cities in Michigan are hiring for Data Analyst Contractor jobs? Cities in Michigan with the most Data Analyst Contractor job openings:
Infographic showing various Data Analyst Contractor job openings in Michigan as of June 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Data Analyst

Other

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago


Job description

Job#: 3029487
Job Description:
Data Analyst - Manufacturing & Applied Machine Learning
Location: Warren, MI (Hybrid)
Employment Type: Contract
Role Overview
A client in the automotive manufacturing space is seeking a Machine Learning Data Analyst. This role requires a foundation in statistics and numerical data analysis, with exposure to machine learning. The position supports data-driven decision-making for manufacturing and engineering applications, with an emphasis on structured, numerical data. This is a suitable role for an individual with a manufacturing, mechanical, or industrial engineering background who has moved into data analytics and applied machine learning.
Key Responsibilities
  • Analyze large-scale numerical and structured manufacturing data to identify trends, anomalies, and performance drivers.
  • Build dashboards, reports, and analytical models to support operational and engineering teams.
  • Apply foundational machine learning techniques such as regression, classification, and clustering to manufacturing-related datasets.
  • Partner with engineering and manufacturing stakeholders to translate business problems into analytical solutions.
  • Support data validation, quality checks, and statistical analysis for operational datasets.
  • Present findings to both technical and non-technical audiences.
Required Qualifications
Education: A Master's or PhD in Mechanical Engineering, Industrial Engineering, or a related manufacturing-focused discipline is required.
Experience: A minimum of one to three years of experience in data analysis with exposure to machine learning is necessary. This includes at least one year of experience working with statistics and numerical datasets, along with a background in manufacturing or industrial data.
Technical Skills: Proficiency with Python, SQL, and common data analysis libraries such as Pandas and NumPy is required.
Preferred Qualifications
  • Prior experience applying data analytics within an automotive or manufacturing environment.
  • Familiarity with basic machine learning model development and evaluation.
  • Experience communicating insights to engineering teams.

We are an equal opportunity employer and welcome applications from all qualified candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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