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Data Analytics Jobs in Michigan (NOW HIRING)

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and rapidly growing company that's shaping the future? Welcome to ArcelorMittal Tailored Blanks (AMTB ...

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

Use modern data analytics and Business Intelligence tools such as Microsoft Power BI, Microsoft Excel, Microsoft SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to ...

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for ...

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

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Data Analytics information

See Michigan salary details

$21

$47

$82

How much do data analytics jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data analytics in Michigan is $47.72, according to ZipRecruiter salary data. Most workers in this role earn between $38.37 and $54.04 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Michigan? The most popular types of Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Data Analytics jobs? Cities in Michigan with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,251 per year, or $47.7 per hour.
Engineering Data Analytics Specialist

Engineering Data Analytics Specialist

Insight Global

Dearborn, MI • On-site

$25/hr

Contractor

Medical, Dental, Vision

Posted 4 days ago


Job description

 3+ years of experience in Data Analysis, Reporting, Engineering Analytics

• Experience supporting:

              • Engineering organizations
              • Manufacturing organizations
              • Automotive organizations
              • Product Development organizations

• Experience managing large datasets.
              • Experience creating executive-level reports and dashboards.
              • Experience developing reporting metrics and analytics tools.
              • Experience supporting cross-functional teams and project activities.

Plusses:

• Automotive industry experience.
• Powertrain engineering support experience.
• Experience supporting Technical Value Management (TVM) initiatives.
• Experience supporting cost-reduction programs.
• Experience with advanced Power BI development.
• Experience using Power Query and DAX.
• Experience with workflow automation tools.
• Experience utilizing AI-driven reporting and analytics solutions.

Job Summary:

The Engineering Data Analytics Specialist supports Technical Value Management (TVM) initiatives across powertrain engineering organizations by providing data analysis, reporting, dashboard development, and project tracking support. The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise, advanced analytical skills, and the ability to transform large datasets into executive-level reporting and business intelligence tools.

Responsibilities:

Data Analytics & Reporting

              • Analyze engineering and cost-related datasets.

              • Perform data mining and trend analysis.

              • Create executive-level visualizations and reports.

              • Develop standardized metrics and KPI reporting systems.

              • Improve reporting methodologies and data visibility.

Power BI & Dashboard Development

              • Develop and maintain Power BI dashboards.

              • Automate reporting processes.

              • Support reporting efficiency initiatives.

              • Create business intelligence tools for engineering organizations.

Program Tracking & Coordination

              • Track cost-saving initiatives and project milestones.

              • Support engineering review meetings and status reporting.

              • Monitor implementation progress.

              • Coordinate with engineering, manufacturing, product development, and program teams.

Data Management & Continuous Improvement

              • Maintain data integrity and validate data accuracy.

              • Develop reporting metrics and analytics tools.

              • Support cross-functional teams and project activities.



Compensation: $25/hour

Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.