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Data Analytics Jobs in Michigan (NOW HIRING)

Denso

Director- Data Analytics and AI

Southfield, MI

$181K - $226K/yr

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 ...

Valeo

Sales & Data Analytics Intern

Troy, MI

$14.25 - $19.25/hr

As a Sales & Data Analytics Intern, step into the fast-paced world of a Tier 1 OEM. This internship bridges the gap between data strategy and relationship management. You will support our commercial ...

Valeo

Sales & Data Analytics Intern

Troy, MI · On-site

$14.25 - $19.25/hr

As a Sales & Data Analytics Intern, step into the fast-paced world of a Tier 1 OEM. This internship bridges the gap between data strategy and relationship management. You will support our commercial ...

AaraTechnologies Inc

DATA ANALYST

Wyoming, MI · Remote

Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience) * Working knowledge of SQL * Experience with BI tools such as Tableau, Power BI ...

Apex Systems

Data Analyst

Warren, MI · Hybrid

Prior experience applying data analytics within an automotive or manufacturing environment. * Familiarity with basic machine learning model development and evaluation. * Experience communicating ...

Ilitch

VP, Global Data & Analytics

Detroit, MI

The Vice President of Global Data and Analytics will lead the vision, strategy, and execution for enterprise data for Little Caesar Enterprises, Inc. (LCE) to further build on goals of being a data ...

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All JobsData Analytics JobsData Analytics Jobs in Michigan

Data Analytics information

See Michigan salary details

$21

$47

$82

How much do data analytics jobs pay per hour?

As of Jun 9, 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 are popular job titles related to Data Analytics jobs in Michigan? For Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Michigan look for? The top searched job categories for 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:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Michigan as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,251 per year, or $47.7 per hour.
Director- Data Analytics and AI

Director- Data Analytics and AI

Denso

Southfield, MI

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

DENSO rating

7.6

Company rating: 7.6 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

10th of 44 rated automakers

Job description

Role Overview:

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 data, analytics, and AI and executing to deliver scalable, highimpact AI solutions across North American operations. This role serves as a key enabler of DENSO's AI first, data driven operating model. This role partners closely with technology and business leaders to translate data and AI capabilities into measurable business value while ensuring strong governance, security, and ethical AI practices.

 Essential duties and responsibilities:

  • Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital transformation strategy.
  • Lead development and deployment of advanced analytics, machine learning, and AI use cases.
  • Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data engineering, and cybersecurity teams.
  • Partner with business and functional leaders to identify high-impact use cases and drive measurable ROI from analytics and AI investments.
  • Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders.
  • Define data governance, model lifecycle management, and responsible AI standards to ensure compliance, security, and trust.
  • Oversee external partnerships with technology vendors, system integrators, and research institutions.
  • Champion data literacy and analytics adoption across the organization through change management and enablement.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred.
  • 10+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role.
  • Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments.
  • Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
  • Demonstrated ability to translate complex technical concepts into business outcomes for senior executives.
  • Experience leading global or cross-functional teams in a matrixed organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Experience:

  • Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems.
  • Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI platforms, and data governance tools).
  • Experience establishing responsible AI, model risk management, and data ethics frameworks.

Benefits Summary: 

  • Medical, Dental, Vision, Prescription Drug plans 
  • 401K with 4% Company Match 
  • Vacation/PTO and 13 paid Holidays  
  • Bonus Program 
  • FSA/HSA and Dependent Care Programs 
  • Company provided Life, Disability, ADD and Business Travel Insurance 
  • Various No Cost Wellness & Chronic Condition Management Programs 
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc. 
  • Tuition Reimbursement 
  • Career Development and Ongoing Training 
  • Employee Assistance Program 
  • Employee Spotlight and Recognition Program  
  • Volunteer Opportunities 
  • Onsite Fitness Center (vary by location) 
  • Cafeteria and food markets (vary by location) 
  • Onsite Health Clinic and Pharmacy (vary by location) 

Annual Salary: $181,000 - $226,000

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