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Predictive Analytics Jobs in Michigan (NOW HIRING)

This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory ...

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 ...

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science Experience Required:5+ experience in relevant fieldUndertake statistical modeling, predictive analytics ...

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...

Senior Product Manager, Theft Solutions

Atlanta, MI · On-site

$115K - $152K/yr

Expertise in Telematics & Connected Devices, specifically how GPS, CAN data, and diagnostics are leveraged for predictive analytics and real‑time alerting. * Theft & Loss Prevention knowledge ...

With a focus on proactive demand creation, the BDR leverages AI-powered tools, predictive analytics, and digital engagement strategies to identify and nurture opportunities that align with Dewpoint ...

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Predictive Analytics information

See Michigan salary details

$23.5K

$98.2K

$174.8K

How much do predictive analytics jobs pay per year?

As of Jul 11, 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 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.

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 the most commonly searched types of Predictive Analytics jobs in Michigan? The most popular types of Predictive Analytics jobs in Michigan 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:
Infographic showing various Predictive Analytics job openings in Michigan as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $98,248 per year, or $47.2 per hour.
Materials Manager

Materials Manager

Dana Incorporated

Auburn Hills, MI • On-site

Full-time

Posted 25 days ago


Dana Incorporated rating

5.8

Company rating: 5.8 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

397th of 429 rated machine equipment manufacturers


Job description

Job Purpose
We are seeking a forward-thinking Materials Manager to lead end-to-end materials strategy in a fast-paced manufacturing environment. This role blends operational excellence, people leadership, and digital transformation-leveraging AI, predictive analytics, and ERP systems (SAP) to optimize material flow, improve inventory performance, and ensure flawless customer delivery. You will play a critical role in shaping a data-driven, resilient supply chain, aligning production, engineering, and supplier ecosystems to meet evolving customer and business needs.
Job Duties and Responsibilities
Operational Leadership & Execution
• Lead the execution of production schedules, ensuring seamless alignment across materials planning, manufacturing, and customer delivery
• Drive adherence to safety, quality, and compliance standards across all material-related processes
• Maintain green customer delivery scorecards for both production and aftermarket channels, ensuring consistent on-time delivery performance and rapid recovery plans for any service risks
• Partner cross-functionally with Operations, Engineering, Quality, and Maintenance to achieve plant performance targets
Digital & AI-Driven Supply Chain
• Leverage SAP and advanced analytics tools to optimize materials planning, inventory control, and production flow
• Utilize AI/ML-driven forecasting and predictive planning to improve demand accuracy, reduce variability, and mitigate supply risks
• Implement data-driven dashboards and real-time performance tracking (inventory turns, OTIF, WIP levels, etc.)
• Identify and deploy automation opportunities (e.g., digital Kanban, automated replenishment, smart cycle counting)
Inventory & Flow Optimization
• Lead Lean/continuous improvement initiatives to reduce WIP, excess inventory, and obsolescence
• Design and manage efficient end-to-end material flow strategies from supplier to point-of-use
• Ensure inventory accuracy through robust cycle counting programs, system integrity, and audit readiness
Business Planning & Strategy
  • Conduct scenario planning using data and digital tools to support growth, launches, and demand shift
  • Drive cost optimization initiatives across materials, logistics, and inventory carrying costs

Supplier & Material Management
• Ensure timely and cost-effective procurement and delivery of materials
• Manage supplier performance, RMAs, rework processes, and escalation resolution
• Strengthen supply chain resilience through risk identification and mitigation strategies
People Leadership & Culture
• Build, coach, and develop a high-performing materials team
• Foster a culture of accountability, continuous improvement, and data-driven decision-making
• Lead workforce planning, performance management, and talent development
Education and Qualifications
• Bachelor's degree in Supply Chain, Business, Engineering, or related field (Master's preferred)
• 5+ years in materials management, supply chain, or production control within manufacturing
• 3+ years of people leadership experience (preferably in a union environment).
• Strong experience with SAP or equivalent ERP systems
Functional Expertise
• Deep understanding of production scheduling, inventory management, and supply chain operations
• Proven success applying Lean principles to improve flow and reduce waste
• Experience in unionized manufacturing environments (preferred)
Skills and Competencies
Digital & Analytical Capabilities
• Strong proficiency in ERP (SAP), Excel, and data analytics tools
• Experience using or implementing AI, predictive analytics, or digital supply chain solutions (highly preferred)
• Ability to translate data into actionable insights and business decisions
Leadership & Professional Skills
• Exceptional communication and stakeholder management skills
• Strong executive presence with the ability to influence across all levels
• Highly organized with the ability to manage complexity in a fast-paced environment
• Results-driven mindset with a strong sense of urgency and ownership
Why Join Us
• Opportunity to lead digital transformation in manufacturing supply chain
• High-impact role with visibility to senior leadership
• Collaborative, continuous improvement culture
• Competitive compensation and growth opportunities
Work Environment
• Manufacturing plant environment with occasional extended hours based on business needs
What Sets You Apart
• APICS/CPIM certification
• Experience implementing Industry 4.0 or smart factory initiatives
• Background in automotive or high-volume manufacturing
Join our team of 28,000 problem solvers who are fostering a culture of innovation by leveraging the diverse perspectives of our global team. We believe in facing challenges head-on by finding opportunity and uncovering possibility, where roadblocks and barriers become targets instead of obstacles. We are One Dana with limitless opportunity.
Our Values
  • Value Others
  • Inspire Innovation
  • Grow Responsibly
  • Win Together

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