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Manufacturing Data Analytics Jobs in Michigan (NOW HIRING)

Company Description MSX has been a trusted partner to leading vehicle manufacturers, their ... Prepare analytics reports in presentation form * Assist in developing sound data ETL practices and ...

Must Have: * 2-3 years of experience in Data Analytics, Business Analytics, or a similar role ... Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and ...

$104K - $125K/yr

Join Corning's Optical Communications team and help shape scalable data platforms that support manufacturing, operations, analytics, reporting, and AI/ML initiatives across a global organization.

Controls Engineer - MES

Novi, MI

$78K - $101K/yr

Maintain and manage part numbers, product structures, and production data within the MES environment. Assist with audits, investigations, root cause analysis, and manufacturing data requests.

Senior Consultant - Master Data Analyst (Manufacturing) Infosys Consulting, the management and technology consulting unit of Infosys Ltd, is seeking motivated Manufacturing Industry Consultants as ...

Senior Software Engineer

Warren, MI

$115K - $151K/yr

Our charter is to make highquality manufacturing device data reliably available in the cloud so analytics, AI , and operational teams can improvethroughput,quality,maintenance, andcostacross GM ...

Maintain accurate work orders, production schedules, and manufacturing data. * Ensure documentation ... Strong analytical, organizational, communication, and problem-solving skills. * APICS, APA, or ...

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Showing results 41-60

Manufacturing Data Analytics information

What is manufacturing data analytics?

Manufacturing data analytics refers to the use of data analysis tools and techniques to collect, interpret, and leverage data generated during manufacturing processes. This approach helps companies identify inefficiencies, predict equipment failures, optimize production, and improve product quality. By analyzing data from sensors, machines, and other sources, manufacturers can make informed decisions that boost productivity and reduce costs. Overall, manufacturing data analytics is key for driving digital transformation and competitiveness in the manufacturing industry.

How do manufacturing data analytics professionals collaborate with production and engineering teams to drive process improvements?

Manufacturing Data Analytics professionals work closely with production and engineering teams by analyzing process data, identifying inefficiencies, and presenting actionable insights. They often participate in cross-functional meetings, where they translate complex data findings into practical recommendations for process optimization, quality improvement, or cost reduction. Effective communication and a collaborative approach are essential, as these professionals must understand operational challenges and ensure data-driven solutions are feasible and aligned with business goals.

What are the key skills and qualifications needed to thrive in manufacturing data analytics, and why are they important?

To thrive in Manufacturing Data Analytics, you need a strong background in statistics, data analysis, and manufacturing processes, often supported by a degree in engineering, data science, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and ERP/MES systems is typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly are essential soft skills. These competencies enable professionals to drive process improvements, optimize production, and support data-driven decision-making in manufacturing environments.

What is the difference between Manufacturing Data Analytics vs Manufacturing Data Engineer?

AspectManufacturing Data AnalyticsManufacturing Data Engineer
Primary FocusAnalyzing manufacturing data to improve processes and decision-makingDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsData analysis, statistical skills, knowledge of manufacturing processes, often with certifications in data analytics or related fieldsData engineering, programming (Python, SQL), cloud platforms, database management
Work EnvironmentCollaborates with manufacturing teams, data teams, and managementWorks with IT, data teams, and software engineers to develop data systems
Industry UsageUsed across manufacturing sectors for process optimizationSupports manufacturing analytics by providing data infrastructure

Manufacturing Data Analytics focuses on interpreting manufacturing data to enhance operations, while Manufacturing Data Engineers develop and maintain the data systems that enable such analysis. Both roles are essential in manufacturing data-driven strategies but differ in their core responsibilities and skill sets.

What are popular job titles related to Manufacturing Data Analytics jobs in Michigan?

For Manufacturing Data Analytics jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Manufacturing Data Analytics jobs?

Cities in Michigan with the most Manufacturing Data Analytics job openings:

Infographic showing various Manufacturing Data Analytics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst

Southfield, MI • On-site

SupportFinity™
IT Services • 51 - 200 employees

Other

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Develop insightful KPI reporting dashboards to drive decision‑making and performance tracking

  • Develop reports and dashboards via data mining analytics and reporting tools

  • Assist in developing sound data ETL practices and processes


Job description

Company Description

MSX has been a trusted partner to leading vehicle manufacturers, their retailers, and mobility organizations globally for more than 30 years. Our unwavering commitment is to help our clients transform their businesses and effectively manage operations in the areas of Sales Performance; Repair Optimization and Compliance; Parts and Accessories Sales Performance; and Consumer Engagement. With our global teams, industry expertise, and the power of technology, we design and deliver tailored, sustainable, and innovative solutions and services that help our clients optimize their operations and captivate their customers.

Job Description

This position is responsible for designing, developing and maintaining business data and statistical models that allow for insights into customer data. This is a Technical Data Analyst role. The candidate would be expected to help develop analytic reports and dashboards for existing business and new opportunities.

Day‑to‑Day Responsibilities
  • Develop insightful KPI reporting dashboards to drive decision‑making and performance tracking
  • Develop reports and dashboards via data mining analytics and reporting tools
  • Prepare analytics reports in presentation form
  • Assist in developing sound data ETL practices and processes
  • Conduct research and analyze special studies when needed
  • Create and update documentation of process flows and business rules
  • Maintain current reports up to date and process large amounts of data as needed
Qualifications
  • Bachelor’s Degree in computer science, statistics, mathematics, or relevant discipline
  • Training/Learning operations experience preferred
  • 1-3 years of automotive operations experience, or similar business (quick‑paced environment)
  • Experience with data visualization tools (Tableau, PowerBI, etc.)
  • SQL skills for querying relational databases
  • Experience with complex data analysis
  • Performing data manipulation and statistical analysis
  • Strong analytical skills with ability to understand and communicate the meaning of the data being presented
  • Excellent Mathematical/Statistical and Logic skills
  • Excellent Reasoning skills
Preferred Qualifications
  • Multi‑dimensional reporting, data correlation, data analytics and data mining
  • Previous external client facing experience
  • Experience with ETL tools (SSIS, Alteryx, KNIME, etc.)
  • Experience supporting a Training, Learning, Development or Talent Management team
  • Knowledge Retention – In order to provide the highest quality of work, analysts must be able to learn and memorize a large amount of information.
  • Detail Oriented – Analysts must be able to focus on the details in order to identify and isolate issues.
  • Organizational Skills – Analysts must be organized and able to keep track of multiple projects at once.
  • Flexibility – Analysts must be able to handle multiple tasks at once and follow changes in priority level.
  • Speed – Must be able to work quickly and efficiently without sacrificing the quality of their work.
  • Solutions Oriented – Must be able to find workable solutions for any problems they might face.
  • Full Professional Proficiency in English is required
  • Able to complete advanced statistical analysis is required
  • Job requires analyzing information and using logic to address work‑related issues and problems
Physical Demands

While performing the duties of this job, the employee is regularly required to:

  • Call, video, email, message and communicate with dealers and co‑workers

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Employment Opportunity

MSX International is an Equal Employment Opportunity Employer committed to employing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veteran status, age, or any other characteristic protected by law.

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