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Predictive Analytics Jobs in Michigan (NOW HIRING)

Ford Motor Company

V&V Governance Engineer

Dearborn, MI · Hybrid

$85K - $150K/yr

Experience applying quality predictive analytics, including trend analysis, leading indicators, risk modeling, and preventive action planning. * Strong communication, stakeholder alignment, and ...

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 ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise. Key ...

OneMagnify

Analytics and Insights Lead

Detroit, MI · On-site

They are seeking an Analytics and Insights Lead to lead analytics and insights delivery, focusing ... predictive modeling, and AI applications. • Collaborate with cross-functional internal teams ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

Identifies opportunities to enhance efficiency through RegTech, automation, and predictive analytics. * Benchmarks compliance data practices against industry standards and best practices. * Supports ...

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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 Aug 20, 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 predictive analytics?

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 predictive analytics?

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.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

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 August 2026, with employment types broken down into 1% Internship, 87% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $98,248 per year, or $47.2 per hour.

Data Analytics Systems Specialist - Material Logistics Management

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 22 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 Data Analytics Specialist candidate blends technical expertise with strategic vision and can translate complex data into actionable intelligence for senior leaders.
  • Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across all MLM KPIs.
  • Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data.
  • Leverage AI and machine learning (ML) to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and overall MLM strategies.
  • Collaborate closely with stakeholders across MLM, Production, Finance, Audit and IT to understand data needs and translate them into scalable analytical solutions.
  • Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Visualizations and advanced analytics.
  • Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring.

Basic Qualifications:
  • Bachelor's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Minimum 2 years of experience in data mining, modeling and visualization (Excel, PowerBI, Power App, Power Automate, Access, Snowflake)
  • Excellent oral and written communication skills including working knowledge of Microsoft Office and/or Google Suite
  • Ability to work any shift and overtime as required

Preferred Qualifications:
  • Master's Degree in Analytics, Finance, Statistics, Logistics, Business or a related field
  • Experience implementing AI/ML models for predictive forecasting, anomaly detection or automated insights generation
  • Knowledge of SQL, Python, R or other data querying / scripting languages / machine learning frameworks
  • Knowledge of cloud-based data platforms (Snowflake, Azure, AWS, GCP)
  • Demonstrated success in building trend analysis tools and ensure ROI justification
  • Experience Working in a Unionized Environment
  • Stellantis Industrial Systems Logistics Pillar knowledge

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