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Ai Analyst Jobs in Michigan (NOW HIRING)

Strategic Staffing Solutions

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 ...

Mastronardi Produce

AI & Automation Analyst

Livonia, MI · On-site

$90 - $120/hr

The AI & Automation Analyst is responsible for designing, implementing, and supporting automation and AI-enabled solutions that improve how business teams across Mastronardi operate. The role focuses ...

Sunset Grown

AI & Automation Analyst

Livonia, MI · On-site

The AI & Automation Analyst is responsible for designing, implementing, and supporting automation and AI-enabled solutions that improve how business teams across Mastronardi operate. The role focuses ...

Autodesk

Senior Cloud & AI FinOps Analyst

Novi, MI

$82K - $109K/yr

Job Requisition ID # 26WD99820 Position Overview Autodesk is seeking a Senior Cloud & AI FinOps Analyst to scale FinOps as a service for internal stakeholders. This role blends traditional multi ...

Autodesk, Inc.

Senior Cloud & AI FinOps Analyst

Novi, MI · On-site

$82K - $109K/yr

Job Requisition ID # 26WD99820 Position Overview Autodesk is seeking a Senior Cloud & AI FinOps Analyst to scale FinOps as a service for internal stakeholders. This role blends traditional multi ...

Corning

AI Governance Operations Analyst Are you looking to be part of a global innovator in materials science, where your work can shape the future of connectivity, technology, and everyday experiences?

Lineage Logistics

Senior Business Analyst (AI COE)

Novi, MI · Remote

$86K - $112K/yr

The AI Senior Business Analyst is the domain partner who pairs directly with a Forward Deployed Engineer to automate the work of the business. You will embed in one or two functional areas at a time ...

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Ai Analyst information

What does an AI analyst do?

An AI Analyst is responsible for analyzing data, developing insights, and optimizing artificial intelligence models to improve business processes. They work with machine learning algorithms, data visualization tools, and statistical techniques to interpret data trends and provide actionable recommendations. AI Analysts often collaborate with data scientists, engineers, and business teams to ensure AI-driven solutions align with organizational goals. Their role includes assessing model performance, identifying biases, and suggesting improvements to enhance efficiency and accuracy.

What are the key skills and qualifications needed to thrive as an AI analyst?

To thrive as an AI Analyst, you need a solid background in data analysis, machine learning, and statistical modeling, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with programming languages such as Python or R, machine learning frameworks, and experience using data visualization and analytics platforms are essential, and certifications like Google Cloud AI or Microsoft Azure AI can be advantageous. Strong communication skills, critical thinking, and problem-solving abilities set exceptional candidates apart, as does the ability to explain technical insights to non-technical stakeholders. These skills are central to analyzing complex data, developing actionable AI-driven solutions, and contributing effectively to team objectives in a rapidly evolving field.

What are the most common challenges AI analysts face in their day-to-day work?

AI Analysts often encounter challenges such as cleaning and preprocessing large, unstructured datasets, as well as ensuring data quality and integrity before model development. Another frequent challenge is effectively communicating complex technical results to non-technical team members or stakeholders to drive informed business decisions. Balancing multiple projects and staying current with rapidly evolving AI technologies can also be demanding but contributes to ongoing professional growth. Adapting quickly, collaborating closely with data scientists, engineers, and business teams, and maintaining a curiosity for learning are key to overcoming these daily challenges and succeeding in the role.

How much do entry-level AI analysts make?

Entry-level AI analysts typically earn between $60,000 and $80,000 annually, depending on location, education, and industry. Starting salaries may be lower for those with less experience or certifications in data analysis, machine learning, or programming tools like Python or TensorFlow.

How to become an AI analyst?

To become an AI analyst, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong skills in programming, data analysis, and machine learning. Gaining experience with tools like Python, R, and SQL, and obtaining certifications in AI or data analysis can enhance your qualifications. Developing a solid understanding of algorithms and data structures is also important for this role.

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

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

What are popular job titles related to Ai Analyst jobs in Michigan?

For Ai Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Ai Analyst jobs in Michigan look for?

The top searched job categories for Ai Analyst jobs in Michigan are:

What cities in Michigan are hiring for Ai Analyst jobs?

Cities in Michigan with the most Ai Analyst job openings:

Ai Analyst jobs near you
Infographic showing various Ai Analyst job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Dealer Audit - Data Analyst & AI Solutions

Stellantis

Auburn Hills, MI

Full-time

Re-posted 3 days 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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