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Data Analytics Manager Jobs in Detroit, MI (NOW HIRING)

Deloitte

M&A Data Analytics Manager - LSHC

Detroit, MI · On-site

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

Ra

Marketing Analytics Manager

Detroit, MI

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 ...

Deloitte

M&A Data Analytics Manager

Detroit, MI

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

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 ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Detroit, MI

Data Analytics Manager information

See Detroit, MI salary details

$28.4K

$88.9K

$157.4K

How much do data analytics manager jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data analytics manager in Detroit, MI is $88,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $114,800.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Detroit, MI? The most popular types of Data Analytics jobs in Detroit, MI are:
What are popular job titles related to Data Analytics Manager jobs in Detroit, MI? For Data Analytics Manager jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Detroit, MI look for? The top searched job categories for Data Analytics Manager jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Analytics Manager jobs? Cities near Detroit, MI with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Detroit, MI as of July 2026, with employment types broken down into 100% Full Time. Highlights an 65% In-person, 9% Hybrid, and 26% Remote job distribution, with an average salary of $88,887 per year, or $42.7 per hour.

Data Analytics Manager, Portfolio Planning

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 22 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th 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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