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Predictive Analytics Jobs in Michigan (NOW HIRING)

Auto-Owners Insurance

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through ...

Aampower

Senior Manager Maintenance

Detroit, MI

Evaluates and implements emerging technologies such as automation, robotics, and predictive analytics. Compliance & Quality * Ensures compliance with IATF 16949, ISO standards, and customer-specific ...

Stellantis

Quality Technical Manager

Auburn Hills, MI · On-site

You will lead a talented team of data analysts/scientists, driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise. This is a fast-paced ...

General Motors

Cost Engineer - Data Analytics

Warren, MI · Hybrid

$107.50K - $129.10K/yr

This role sits within the PPCO Systems and Data Analytics teams and focuses on building and ... Develop and validate predictive machine learning models and descriptive models (regression ...

New

Carhartt

Sr. Manager, Credit

Dearborn, MI · Hybrid

Champion the adoption of AI and automation technologies, including machine learning models, predictive analytics, AI chatbots, and RPA. Continuously evaluate and evolve department workflows to ...

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$23.5K

$98.2K

$174.8K

How much do predictive analytics jobs pay per year?

As of May 31, 2026, the average yearly pay for predictive analytics in Michigan is $98,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $107,200.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in the Predictive Analytics position, and why are they important?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a Predictive Analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.
More about Predictive Analytics jobs
What are the most commonly searched types of Predictive Analytics jobs in Michigan? The most popular types of Predictive Analytics jobs in Michigan are:
What are popular job titles related to Predictive Analytics jobs in Michigan? For Predictive Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in Michigan look for? The top searched job categories for Predictive Analytics jobs in Michigan are:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Michigan as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $98,248 per year, or $47.2 per hour.

Financial Analyst - Digital Analytics

ZF

Farmington Hills, MI • On-site

Other

Medical, Retirement, PTO

Posted 8 hours ago

ZF rating

7.2

Company rating: 7.2 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

271st of 415 rated machine equipment manufacturers

Job description

 Req ID 86321 | Gbl Elec HQ - Farmington Hills, United States ZF Active Safety and Electronics US LLC

About the Position

The Financial Analyst for Digital Analytics drives automation, digitalization, and data enablement within Finance and especially Corporate Controlling & Accounting to increase efficiency, accuracy, and scalability of finance processes

What you can look forward to as Financial Analyst- Digital Analytics: 

  • Identify and analyze manual, inefficient, or high risk finance processes across close cycles, reporting, consolidation, intercompany, budgeting, and forecasting 
  • Design and implement future state automated processes, workflow solutions, and standardized reporting to reduce Excel based manual effort 
  • Develop and enhance KPI dashboards, executive reports, and self service analytics while ensuring a single source of truth for finance data 
  • Analyze large financial datasets to identify variances, trends, efficiency opportunities, and support scenario modeling and predictive analytics 
  • Support finance data modeling aligned with controlling requirements and business needs 
  • Act as a finance subject matter expert for ERP, consolidation, and BI systems, translating business requirements into technical specifications 
  • Partner with IT on system enhancements, upgrades, testing, validation, and data migrations to ensure alignment between finance processes and system architecture 
  • Promote a data driven finance culture through training, documentation, governance standards, and sharing best practices across global transformation initiatives

Your profile as Financial Analyst- Digital Analytics: 

  • Bachelor's degree in Finance, Accounting, Business Informatics, Data Analytics, or a related field 
  • 3-7 years of experience in Controlling, Accounting, Finance Transformation, or BI/Analytics environments 
  • Strong understanding of financial closing processes, reporting structures, and financial data models 
  • Advanced Excel skills, including Power Query and Power Pivot, with experience reducing manual reporting 
  • Hands on experience with BI tools such as Power BI, Tableau, or similar platforms 
  • ERP system experience (e.g., SAP or comparable systems) and basic SQL knowledge 
  • Experience with automation tools and techniques (RPA, VBA, Python) and workflow/process documentation 
  • Strong analytical, problem solving, and communication skills, with the ability to bridge finance and IT stakeholders and support change management

What We Offer:

  • A supportive collaborative team environment
  • Annual Incentive Plan
  • Paid Vacation 
  • Personal Time
  • 401k Plan
  • Health Care Benefits
  • Paid Holidays 
  • A strong diversity culture
  • Supportive Employee Groups and community outreach activities

ZF does not offer visa sponsorship for this role (e.g., H-1B, TN), and candidates must be authorized to work in the U.S. without requiring sponsorship by ZF now or in the future. This role also does not include any immigration-related support, including-but not limited to-being listed on government forms, providing documentation for work authorization, coordinating with universities, or participating in training plans or other procedures related to visa status (e.g., H-1B, TN, F-1 OPT/CPT, J-1, O-1, L-1, E-3, and any other status requiring employer sponsorship or immigration-related support). IF YOU REQUIRE ANY FORM OF VISA SPONSORSHIP OR ANY IMMIGRATION SUPPORT NOW OR IN THE FUTURE, PLEASE DO NOT APPLY.

Be part of our ZF team as Financial Analyst - Digital Analytics and apply now!

Contact

Gabriela Palacio

DIVERSITY COMMITMENT: 
Diversity, Equity and Inclusion are more than just words for us. They are at the core of the ZF Way that propels our team members towards their utmost success. We strive to build and nurture a culture where inclusiveness is a natural reflex. We actively seek ways to remove barriers so that every member of ZF can rise to their full potential. We aim to embed this in our legacy through how we operate and build our products as we shape next generation mobility, safety, sustainability and social justice. 

With four generations across 118 nationalities in 41 countries, ZF combines a unique variety of backgrounds, perspectives, and ideas. Together, we solve problems, drive innovation and shape next generation mobility. 

Our company is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with us and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us. Requests for reasonable accommodation will be considered on a case-by-case basis. ZF is an Equal Opportunity and Affirmative Action Employer and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law. Equal Employment Opportunity/Affirmative Action Employer M/F/Disability/Veteran

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