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Business Intelligence Data Analyst Jobs in Michigan

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

Minimum of 5 years of experience in analytics, business intelligence, or data analysis roles * Strong technical skills with SQL for data analysis * Excellent quantitative and qualitative skills and ...

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

... intelligence, or data analysis roles * Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively * Strong problem formulation, problem-solving, and ...

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All JobsBusiness Intelligence Data Analyst JobsBusiness Intelligence Data Analyst Jobs in Michigan

Business Intelligence Data Analyst information

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$39.7K

$87K

$142.5K

How much do business intelligence data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for business intelligence data analyst in Michigan is $87,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $101,100.00 per year, depending on experience, location, and employer.

What is a business intelligence data analyst?

A Business Intelligence (BI) Data Analyst is responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. They use tools like SQL, Power BI, Tableau, and Excel to generate reports, dashboards, and insights. Their role involves identifying trends, measuring KPIs, and improving business processes by providing actionable recommendations. BI Data Analysts work closely with stakeholders to understand business needs and ensure data-driven decision-making. Strong analytical skills, problem-solving abilities, and knowledge of data visualization are key to success in this role.

What are the typical daily responsibilities of a business intelligence data analyst?

Business Intelligence Data Analysts typically spend their days gathering and cleaning data from multiple sources, building and maintaining dashboards or reports, and conducting in-depth analyses to identify trends and opportunities. They often collaborate closely with business stakeholders to understand their needs and translate them into actionable data insights. Additionally, they may be responsible for troubleshooting data discrepancies, presenting findings to non-technical audiences, and providing recommendations for process improvements. This role offers a dynamic mix of technical tasks and business-oriented communication in a fast-paced environment.

What are the key skills and qualifications needed to thrive as a business intelligence data analyst?

A Business Intelligence Data Analyst should possess strong analytical and quantitative skills, a solid understanding of data modeling, and a background in statistics or business-related fields. Familiarity with BI tools like Tableau or Power BI, proficiency in SQL, and certifications such as Microsoft Certified: Data Analyst Associate are often required. Exceptional problem-solving, communication, and collaboration skills help analysts translate complex data into actionable insights. These capabilities enable analysts to drive informed decision-making and contribute to strategic business growth.

What does a business intelligence data analyst do?

A business intelligence data analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use tools like SQL, Excel, and BI software such as Tableau or Power BI to create reports and dashboards, often working with large datasets to identify trends and insights. Strong analytical skills and knowledge of data visualization are essential for this role.

What are the most commonly searched types of Business Intelligence Data Analyst jobs in Michigan?

The most popular types of Business Intelligence Data Analyst jobs in Michigan are:

What are popular job titles related to Business Intelligence Data Analyst jobs in Michigan?

For Business Intelligence Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Business Intelligence Data Analyst jobs in Michigan look for?

The top searched job categories for Business Intelligence Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Business Intelligence Data Analyst jobs?

Cities in Michigan with the most Business Intelligence Data Analyst job openings:

Business Intelligence Data Analyst jobs near you
Infographic showing various Business Intelligence Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $87,041 per year, or $41.8 per hour.

Business Intelligence Data Scientist

Auburn Hills, MI • On-site

Stellantis
IT Services

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

14th of 45 rated automakers

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Learn more about Stellantisexternal

Full-time

Posted 7 days ago

Job description

Stellantis is seeking a highly skilled Business Intelligence Data Scientist to support advanced analytics within the Business Intelligence and Data Analytics team at the Headquarters & Technology Center in Auburn Hills, Michigan. This role is responsible for applying advanced analytical techniques to large and complex datasets in order to generate actionable insights that inform business decisions related to warranty, cost, quality performance, and operational effectiveness.
The Data Scientist will work with a variety of internal data sources to develop analytical solutions, perform deep exploratory analysis, and support predictive, diagnostic, and prescriptive analytics efforts. The role requires strong analytical thinking, statistical expertise, and the ability to clearly communicate findings to both technical and non-technical stakeholders.
The successful candidate will collaborate closely with Engineering, Quality, Finance, and IT partners and operate with a high degree of independence in a fast-paced, data-driven environment.
Key Responsibilities:
  • Analyze large, complex datasets to identify trends, relationships, risks, and opportunities related to warranty and quality performance
  • Develop and apply advanced statistical, analytical, and data science techniques to support business problem-solving and decision-making
  • Perform exploratory data analysis and root-cause investigations to explain performance drivers and anomalies
  • Design, develop, and maintain robust analytical models, metrics, and methodologies
  • Translate complex analytical results into clear insights, recommendations, and visualizations for stakeholders
  • Partner with cross-functional teams to understand business needs and deliver analytical solutions
  • Ensure analytical outputs are accurate, repeatable, and well-documented
  • Support continuous improvement of analytics processes, tools, and data usage practices
  • Contribute to the development of standardized reporting, metrics, and best practices across the organization

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Applied Mathematics, or a related field
  • Relevant internship experience
  • Demonstrated ability to communicate analytical findings clearly to technical and non-technical audiences
  • Excellent problem-solving, organizational, and time-management skills
  • Ability to work independently with minimal supervision

Preferred Qualifications:
  • Master's degree in a quantitative discipline
  • Experience applying predictive, diagnostic, or prescriptive analytics techniques in a business environment
  • Familiarity with data visualization and business intelligence tools (e.g., Power BI, Tableau)
  • Experience working in automotive, manufacturing, quality, or operational analytics environments
  • Experience with working across multiple deployment environments including cloud, on-premises and hybrid, using multiple operating systems
  • Experience translating complex data into clear narratives for leadership decision-making

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