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Data Analyst Ai Jobs in Michigan (NOW HIRING)

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation ...

Data Analyst #1058274 * We are seeking an Analytics Engineer (contract) to support development of ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience integrating practical AI capabilities, such as LLMs or machine learning models, into ...

New

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Experience integrating practical AI capabilities, such as LLMs or machine learning models, into ...

New

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... cloud and AI, powered by a broad portfolio of technology services and products. We work with ...

Working under the direction of a Data & AI Product Owner, the role contributes to the delivery of ... Analytics & Front-End Development * Build dashboards, reports, and front-end data applications ...

Knowledgeable in manufacturing industry trends such as Industry 4.0, digitization, AI/ML, Cloud ... Master Data Analyst is responsible for ensuring that business-critical master data is accurate ...

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Data Analyst Ai information

See Michigan salary details

$13

$35

$60

How much do data analyst ai jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data analyst ai in Michigan is $35.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $42.60 per hour, depending on experience, location, and employer.

What is a data analyst AI?

A Data Analyst AI is a professional who uses artificial intelligence tools and techniques to analyze and interpret complex data sets. They leverage machine learning algorithms, statistical models, and data visualization tools to uncover trends, patterns, and insights that help organizations make data-driven decisions. In addition to traditional data analysis skills, Data Analyst AI professionals are proficient in programming languages like Python or R and are familiar with AI frameworks. Their work often involves cleaning and preparing data, building predictive models, and communicating findings to stakeholders. This role bridges the gap between data analysis and AI-driven solutions.

How does a data analyst AI typically collaborate with data scientists and engineering teams?

Data Analysts focusing on AI often work closely with data scientists to prepare, clean, and analyze large datasets that feed into machine learning models. They also collaborate with engineering teams to ensure data pipelines are robust and scalable, supporting both ongoing analysis and model deployment. Regular communication and documentation are essential, as insights and findings from the analyst's work often inform model improvements and business decisions. This cross-functional teamwork helps bridge the gap between raw data and actionable AI solutions.

What are the key skills and qualifications needed to thrive as a data analyst AI, and why are they important?

To thrive as a Data Analyst AI, you need strong analytical skills, proficiency in statistics, data visualization, and a solid understanding of machine learning principles, often supported by a degree in a quantitative field. Familiarity with tools such as Python, SQL, R, and AI platforms like TensorFlow or PyTorch, as well as certifications in data analytics or AI, is highly beneficial. Critical thinking, attention to detail, and effective communication help you interpret data insights and present findings to stakeholders. These skills are crucial for extracting meaningful patterns from complex datasets and enabling data-driven decision-making in AI-driven environments.

What is the difference between Data Analyst Ai vs Data Scientist?

AspectData Analyst AiData Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development, modeling, and complex data analysis
Employer & Industry UsageCorporate, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonOften compared for entry to mid-level roles in data analysisMore advanced, requiring deeper statistical and machine learning skills

Data Analyst Ai and Data Scientist roles share overlapping skills but differ mainly in complexity and scope. Data Analysts Ai focus on interpreting data and creating reports, while Data Scientists develop models and algorithms for predictive analytics. Understanding these differences helps in career planning and job targeting.

How to become a data analyst AI?

To become a data analyst AI, you should develop skills in programming languages like Python or R, learn data manipulation and analysis techniques, and gain experience with machine learning tools and frameworks. Acquiring relevant certifications and understanding data visualization and database management can also enhance your qualifications.

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

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

What cities in Michigan are hiring for Data Analyst Ai jobs?

Cities in Michigan with the most Data Analyst Ai job openings:

Infographic showing various Data Analyst Ai job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,048 per year, or $35.1 per hour.

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI

Full-time

Re-posted 1 hour ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

The role requires a creative and detail-oriented individual. In this role, you will develop and respond to requests for data analysis to present a coherent vision of business activities, assisting the Dealer Audit teams and key stakeholders in making data-driven decisions. The selected candidate will provide a blend of technical and functional expertise. 

AI Solutions: The role drives the identification, design, pilot, and scaling of AI and automation solutions across Dealer Audit. The role works to deliver measurable impact through workflow optimization, improved customer and employee experience, and digital process transformation. This role supports the broader organizational mission to accelerate digital transformation and scale AI adoption. 

Key Responsibilities:

  • Analyze large and complex data sets from multiple sources to identify trends, patterns, and insights 
  • Work with stakeholders to propose, identify, and develop analytics requirements 
  • Build visualization or perform further analysis based on requirements identified 
  • Know business data and provide recommendations for improving knowledge and data quality 
  • Support audit teams in deepening their knowledge and utilization of data and AI within testing 
  • Stay up-to-date with the latest advancements in AI and data analytics technologies
  • Identify high-value AI, Copilot, and other automation opportunities to embed into daily operations
  • Conduct process mapping and problem analysis to define requirements and value hypotheses
  • Translate business needs into clear user stories, requirements, and acceptance criteria
  • Partner with stakeholders to ensure feasibility and solution integration
  • Develop deployment playbooks, documentation, and training assets
  • Create reusable templates, prompt libraries, workflows, or automation components
  • Define KPIs and measure performance, productivity, and financial outcomes
  • Ensure compliance with Stellantis' Responsible AI and Data Governance frameworks

Basic Qualifications: 

  • Bachelor’s Degree in Business, Data Science, Statistics, Business Analytics, Management Information Systems, or a related field 
  • A minimum of 5 years of experience as a Data Analyst, AI Analyst, or similar role 
  • Strong knowledge of data visualization tools such as PowerBI, Tableau, Qlik, or similar tools 
  • Familiarity with programming languages such as Python, R, SQL, NoSQL 
  • Familiarity with platforms such as Visual Studio Code, Databricks, Snowflake, Palantir Foundry 
  • Strong computer skills and highly proficient with Microsoft Office Suite (O365 / Online Collaboration Version) 
  • AI literacy: understanding capabilities, limitations, risks, and responsible use 
  • Flexible and adaptable to changing business environments and job responsibilities 
  • Excellent written and verbal communication skills in English 
  • Quantitative, analytical, and detail-oriented. Problem-solving skills 
  • Strong project management skills; effective & efficient completing numerous tasks simultaneously 

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