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Data And Analytics Manager Jobs in Michigan (NOW HIRING)

Ra

Marketing Analytics Manager

Detroit, MI · On-site

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good in management or leadership role. Who is good in providing external ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

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 ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

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 ...

General Motors

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

... Certification Management System (SCMS) in cross-functional and cross-departmental projects ... Data Analyst or related role. Two (2) years of experience with: Microsoft Excel. One year of ...

General Motors

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

... Certification Management System (SCMS) in cross-functional and cross-departmental projects ... Data Analyst or related role. Two (2) years of experience with: Microsoft Excel. One year of ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO ... Define data governance, model lifecycle management, and responsible AI standards to ensure ...

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Data And Analytics Manager information

See Michigan salary details

$27K

$84.7K

$149.9K

How much do data and analytics manager jobs pay per year?

As of Jul 13, 2026, the average yearly pay for data and analytics manager in Michigan is $84,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $109,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data and Analytics Manager, you need expertise in data analysis, statistical modeling, and business intelligence, often supported by a degree in a quantitative field and experience in data management. Proficiency with tools like SQL, Python, Tableau, and data warehousing systems, as well as relevant certifications such as Certified Analytics Professional (CAP), is highly valuable. Strong leadership, communication, and problem-solving skills set top performers apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What are top 3 soft skills for a data analyst?

For a Data and Analytics Manager, the top three soft skills for a data analyst are communication, critical thinking, and collaboration. These skills enable analysts to interpret data effectively, present insights clearly, and work well within teams to support decision-making. Strong interpersonal skills and adaptability are also valuable in dynamic data environments.

What are some common challenges faced by Data and Analytics Managers when implementing data-driven initiatives in organizations?

Data and Analytics Managers often encounter challenges such as integrating data from disparate sources, ensuring data quality and governance, and aligning data strategies with business goals. They must also navigate organizational resistance to change, educate stakeholders on the value of analytics, and stay updated on rapidly evolving technologies. Successfully overcoming these challenges requires strong communication, project management skills, and a proactive approach to stakeholder engagement.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a Data and Analytics Manager involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI is a complement to data analysts, enhancing productivity rather than fully replacing them. Skills in data visualization, critical thinking, and understanding business context remain essential for the role.

What does a data analytics manager do?

A data analytics manager oversees the collection, analysis, and interpretation of data to support business decision-making. They lead data teams, develop analytics strategies, and use tools like SQL, Python, or Tableau to generate insights that improve organizational performance.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Chief Data Officer, Data Science Director, and Senior Data Scientist, often requiring advanced skills in machine learning, big data tools, and leadership. These positions can offer six-figure salaries, especially in large organizations or industries like finance and technology.

What are Data and Analytics Managers?

Data and Analytics Managers are professionals responsible for overseeing an organization's data strategy, including data collection, storage, analysis, and reporting. They manage teams of data analysts and data scientists, ensuring data quality and developing insights that inform business decisions. Their role often involves collaborating with other departments to identify data needs, selecting appropriate tools and technologies, and ensuring compliance with data governance policies. Data and Analytics Managers play a crucial role in helping companies leverage data to drive growth and efficiency.
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Data And Analytics Manager jobs near you
Data Analytics Manager, Portfolio Planning

Data Analytics Manager, Portfolio Planning

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 3 days ago

New

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

We are seeking a passionate automotive industry enthusiast to lead a team of data scientists & analysts responsible for providing insights and analytics for the Portfolio Planning organization with an understanding for the implications to the Stellantis business.
Responsibilities include:
  • Analyzing industry forecasts, segment growth trends, and economic indicators that influence the automotive industry.
  • Participating in scenario planning initiatives, understanding changing consumer behavior to determine potential implications &/or recommendations for Stellantis.
  • Providing support to monthly and annual governance discussions (product, commercial and industrial)
  • Publishing quarterly analysis of industry sales results mix/trend reports and other relevant reports for extended Stellantis
  • Departmental budgeting and management of licenses and relationships with vendors.

Candidate will participate in new product studies providing industry context, competitive analysis and customer insights for products as they advance through program approval gates. Candidate will work with local team(s), as well as those in other regions and centralized global functions.
Basic Qualifications:
  • Bachelor's degree in Business Administration, Mathematics, Finance, Computer Science or related field
  • A minimum of 5 years of automotive analysis experience
  • A minimum of 10 years relevant work experience including a supervisory role
  • Training or experience in advance data analysis techniques
  • Strong analytical skills with an ability to take data and provide contextual meaning to findings
  • Identification of patterns, develop insights and implications and deliver data-driven alternatives
  • Ability to meet aggressive deadlines and produce executive-ready deliverables
  • Excellent written and oral communication skills

Preferred Qualifications:
  • MBA preferred
  • Possess above average PowerPoint and Excel skills
  • Familiarity with Power BI, Access databases
  • Familiarity with SQL or R
  • Familiarity with Palantir
  • Familiarity with Economic Data and Tracking

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