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Manufacturing Data Analytics Jobs in Michigan (NOW HIRING)

Solving manufacturing, quality, and engineering problems using data analytics and science tools. * Identifying opportunities and deploying tools to drive continuous improvement through data analytics ...

Solving manufacturing, quality, and engineering problems using data analytics and science tools. * Identifying opportunities and deploying tools to drive continuous improvement through data analytics ...

Solving manufacturing, quality, and engineering problems using data analytics and science tools. * Identifying opportunities and deploying tools to drive continuous improvement through data analytics ...

Manufacturing/industrial plant experience * Experience in applying advanced data and statistical analysis methods to industrial manufacturing data * Visualization tools: Power BI, Tableau

$104K - $125K/yr

You will collaborate with manufacturing teams, analysts, data scientists, and technology partners to deliver clean and reliable data for reporting, analytics, operational decision-making, and AI/ML ...

Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments. * Strong understanding of data architecture, cloud ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

In this role, you will conduct process improvements through collection and analysis of manufacturing data to improve safety, product quality, customer delivery, and cost reductions. The expected ...

Manufacturing Engineer

Jackson, MI · On-site

$71K - $90K/yr

In this role, you will conduct process improvements through collection and analysis of manufacturing data to improve safety, product quality, customer delivery, and cost reductions. The expected ...

In this role, you will conduct process improvements through collection and analysis of manufacturing data to improve safety, product quality, customer delivery, and cost reductions. The expected ...

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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 typically 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 job categories do people searching Manufacturing Data Analytics jobs in Michigan look for? The top searched job categories for Manufacturing Data Analytics jobs in Michigan 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 July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.
Data Scientist

Full-time

Posted 13 days ago


Howmet Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 160 frontline employees who took The Breakroom Quiz

48th of 71 rated aerospace companies


Job description

As a data scientist you will be working on a cross-functional team environment supporting Howmet’s casting, core, and rings facilities.  This position involves:

  • Up to 50% travel to support plants in France, UK and Germany

  • Constructing and manipulating large datasets using tools like SAS, SQL, Python, R, MiniTab, PowerBI, and more to extract multi-factor interactions and drive change

  • Solving manufacturing, quality, and engineering problems using data analytics and science tools.

  • Identifying opportunities and deploying tools to drive continuous improvement through data analytics and science

  • Driving a data-driven culture across the organization through expanding applications and training. 

  • Interacting with internal customers to drive validation trials, implement process improvements, and integrate predictive models using big data


Basic Qualifications:

  • A bachelor’s degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related 
  • 2+ years of professional data experience or a graduate data science degree
  • Demonstrated success applying advanced statistical methods and/or machine learning algorithms to production/field data using Python or R
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications:

  • 2+ years of professional data science experience
  • Manufacturing/industrial plant experience
  • Experience in applying advanced data and statistical analysis methods to industrial manufacturing data
  • Visualization tools: Power BI, Tableau
  • Engineering data tools: SQL, SAS, Minitab, JMP, MS Excel, Six Sigma
  • In depth knowledge of advanced analytics techniques.
  • Strong verbal and written communication skills.  Excellent analytical skills.
  • Ability to work in a self-directed AND cross-functional team environment.
  • Strong organizational skills.

What Howmet Aerospace employees say

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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888