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Predictive Analytics Jobs in Michigan (NOW HIRING)

Carhartt

Sr. Manager, Credit

Dearborn, MI · On-site

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 ...

Whisker

Head of Data

Auburn Hills, MI · On-site

... for predictive analytics, including LTV, churn, demand forecasting, and personalization. • Partners with Engineering to productionize models and establish MLOps practices. • Ensures ML ...

Denso

Director- Data Analytics and AI

Southfield, MI · On-site

$181K - $226K/yr

Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems. * Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI ...

Varsity Tutors

Business Analytics Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Varsity Tutors

Business Analytics Tutor

Detroit, MI · Remote

$40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Varsity Tutors

Business Analytics Tutor

Kalamazoo, MI · Remote

$40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

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See Michigan salary details

$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.
Sr. Manager, Credit

Sr. Manager, Credit

Carhartt

Dearborn, MI • On-site

Full-time

Posted 20 days ago

Carhartt rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Position Details:
Title: Sr. Manager, Credit
Department: Accounting
Reports to: Director, Finance - CCG/NAWS
Location: Dearborn
Job Classification: Hybrid
FLSA Status: Exempt
Job Band: Manager
Job Summary
The Sr. Manager, Credit plays a critical role in the Company's financial success by establishing credit policies, optimizing risk adjusted credit portfolio performance, ensuring timely collections, overseeing resolution of customer chargebacks and enabling profitable revenue growth across the business. This role blends strategic oversight with hands-on management of credit operations, analytics, customer risk assessment, and cross-functional partnership with Sales, FP&A, Legal, IT, Distribution and Customer Care. Success in this position requires robust business acumen and a deep understanding of corporate strategies, enabling alignment of departmental objectives with broader organizational goals. The leader is accountable for leveraging artificial intelligence (AI) technologies to optimize decision-making, automate processes, and enhance team performance, while also fostering effective partnerships with Sales leadership to drive revenue growth and customer satisfaction.
Inspired by Hard Work
At Carhartt, the values of hard work-dependability, honesty, and trust-are rooted in the legacy of our founder, Hamilton Carhartt. His commitment to serving hardworking people continues to inspire everything we do. Guided by his legacy and our mission-We serve and protect all hardworking people by building durable products-we remain dedicated to upholding these principles in every decision we make and every product we create.
Associate Responsibilities
  • Lead and develop the credit, collections, and deductions/chargebacks teams, establishing clear goals, KPIs, and performance expectations aligned with the company's broader financial and strategic objectives.
  • Create and maintain credit risk models that reflect strategic growth plans, tailored for unique business unit needs, industry benchmarks, trade reporting insights, and customer relationship history-maximizing credit availability while mitigating unacceptable risk exposure.
  • Assess customer creditworthiness using advanced analytics and AI-driven scoring models. Develop credit policies that balance risk and growth opportunities, and establish clear protocols for holds, escalations, and cross-functional alignment in resolving issues.
  • Collaborate proactively with Sales leadership to align credit strategies with revenue objectives, resolve customer challenges, provide guidance on credit decisions, and benchmark customer and portfolio risk relative to industry peers. Promote open communication and joint problem-solving to enhance customer experience.
  • Drive holistic account management and portfolio health, ensuring customer balances remain within established metrics. Build and maintain policies and processes that incorporate corporate risk tolerance, industry best practices, and operational benchmarks.
  • Oversee and optimize the collections process, leveraging automation and predictive tools to prioritize accounts, anticipate payment behaviors, and improve communication efficiency. Lead cross-functional efforts with Sales, Customer Care, DC Operations, and AR to accelerate dispute resolution and improve cash conversion.
  • Ensure credit and collections operations support corporate financial strategy, integrating an understanding of company priorities and long-term goals into decision-making, policy design, and process enhancements.
  • Develop and refine cash flow forecasts to support Treasury planning. Collaborate with FP&A and Accounting on the analysis of deductions, disputes, and bad debt performance.
  • 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 improve efficiency, accuracy, and service levels.
  • Manage the company's trade credit insurance policy, including policy administration, compliance, reporting, and claims processing with the insurer. Act as primary liaison with our third-party broker.
  • Manage relationships and negotiate contracts with third-party credit reporting services, including Dun & Bradstreet, Creditntell, and similar partners.

Required Education
  • Bachelor's degree in accounting, finance, or related field.
  • Master's degree preferred

Required Skills & Experience
  • 10+ years of experience leading credit, collections, or accounts receivable functions, including establishing customer credit lines, conducting market and industry risk assessments, and participating in credit industry associations (e.g., NACM/CRF).
  • 2-4 years of leadership experience with a track record of developing and attracting talent.
  • Strong analytical, problem-solving, and business acumen, with proficiency in AI-enabled analytics platforms and experience integrating artificial intelligence or automation technologies into credit or operational workflows.
  • Exceptional communication and presentation skills, with the ability to influence decision-making, collaborate across all levels of the organization, and independently create and deliver executive-level presentations.
  • Proven ability to operate in a fast-paced, dynamic environment, managing multiple priorities with strong attention to detail, organizational discipline, and a high degree of accountability.
  • Strong interpersonal and leadership skills, including the ability to motivate teams, influence cross-functional partners, and drive results through collaboration.
  • Experience with ERP systems, including at least two years supporting system reviews or enhancements; SAP experience preferred.
  • Industry experience in consumer goods credit management, apparel or footwear, preferred.

Physical Requirements and Working Conditions
  • Office environment, cubicle setting.
  • Extended periods of time sitting, standing, typing on a computer is required.
  • Able to work some evenings or weekends if necessary.
  • Travel required, less than 25%.
  • This position has a Hybrid location: Associate will work on-site regularly as needed for work activities.
  • Carhartt is a tobacco free workplace.

#LI-HYBRID
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.
All associates are required to understand and act in accordance with the Carhartt Core Values. Carhartt reserves the right to change, modify, suspend, interpret or cancel in whole or in any part, the job duties outlined above at any time and without advance notice to the employee.

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