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Manufacturing Data Analytics Jobs in Michigan (NOW HIRING)

... data problem solving in a fast-paced manufacturing environment. The intern will work directly with ... Clean, transform, and analyze large datasets from various sources including SQL Server, Excel ...

Manufacturing Engineer

Hastings, MI ยท On-site

$70K - $91K/yr

Analyze manufacturing data to establish priority of actions in assigned work centers. Assess process capability for opportunities for improvement.* Creates and revise equipment, tooling, and gage ...

Manufacturing Engineer

Livonia, MI ยท On-site

$68K - $88K/yr

Analyze manufacturing data and implement corrective actions for process variation. * Participate in internal audits, process audits, layered process audits, and customer audits. * Support mistake ...

Manufacturing Engineer

Livonia, MI ยท On-site

$68K - $88K/yr

Analyze manufacturing data and implement corrective actions for process variation. * Participate in internal audits, process audits, layered process audits, and customer audits. * Support mistake ...

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Manufacturing Engineer

Hastings, MI ยท On-site

$80K - $90K/yr

Analyze manufacturing data to establish priority of actions in assigned work centers. Assess process capability for opportunities for improvement. * Creates and revise equipment, tooling, and gage ...

Data Analyst

Warren, MI ยท On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... analytics * Experience in a large corporate or manufacturing environment is a plus

Collect and analyze manufacturing data and metrics to aid in design and improvement of processes. Manage activities and budgets for manufacturing and process improvement projects, including the ...

$123K/yr

Collect, validate, and analyze manufacturing data and support reporting and visualization using tools such as Power BI, SQL, Python, Grafana, or similar technologies. * Work across business and ...

In this role, you will support day-to-day manufacturing operations as part of cross-functional High Performance Work Team, this includes collection and analysis of manufacturing data to implement ...

Data Analysis, Reporting, Engineering Analytics Experience supporting: Engineering organizations or Manufacturing organizations or Automotive organizations or Product Development organizations ...

Senior Data Analyst

Lansing, MI ยท On-site

$78K - $98K/yr

... analytics in regulated, manufacturing, or laboratory environments * Experience preparing data requirements for ERP implementations * Familiarity with MasterControl reporting structures * Experience ...

Showing results 21-40

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.

Manager, AI and Data Analytics

Detroit, MI โ€ข On-site

BBB Industries, LLC
Motor Vehicle Manufacturingย โ€ขย 10K+ employees

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Manager, AI And Data Analytics

The Manager, AI and Data Analytics leads the strategy, design, and delivery of enterprise analytics and AI capabilities that enable data-driven and AI-augmented decision-making across the organization. This role is accountable for building and maturing analytics and AI platforms, managing and developing high-performing data teams, and partnering closely with business leaders to translate strategic objectives into scalable analytics and AI solutions.

The position plays a critical role in advancing business intelligence, operational reporting, and advanced analytics by ensuring data is trusted, accessible, and actionable. This role champions best practices in data architecture, governance, and visualization while driving continuous improvement and innovation across analytics services.

Recognizing that trusted data is the foundation for effective AI, this role also leads the responsible adoption of AI capabilities, including predictive machine learning, forecasting, and AI features embedded in modern BI platforms to generate insight, accelerate decision-making, and deliver measurable business value. This role balances strategic direction with technical fluency, guiding the team through model selection, deployment, and ongoing performance monitoring while ensuring AI solutions are explainable, ethical, and aligned with enterprise governance standards.

Responsibilities
  • Lead & Develop Talent: Manage, coach, and grow a high-performing team of data analysts, data engineers, and BI professionals. Establish clear goals, drive accountability, and build long-term team capability
  • Own the Analytics & AI Strategy: Define and execute a roadmap aligned to business prioritiesbalancing immediate reporting needs with long-term platform scalability and maturity
  • Drive Business Impact: Partner directly with cross-functional leaders to identify opportunities where analytics and AI can improve performance, reduce cost, and enable strategic decision-making
  • Deliver Scalable Solutions: Oversee the end-to-end design and delivery of analytics platforms, dashboards, data models, and reporting solutions that are secure, high-performing, and user-friendly
  • Improve Data Quality & Accessibility: Lead data integration efforts across multiple sources, establish data quality standards, and resolve root-cause data issues to ensure trusted, reliable insights
  • Champion Data Governance: Enforce enterprise data governance, privacy, and security standards while ensuring compliance with regulatory and audit requirements
  • Operationalize Excellence: Own platform performance, monitoring, and support modelsdriving continuous improvement through automation, performance metrics, and user feedback
  • Manage Projects & Portfolio: Oversee multiple concurrent initiatives, managing scope, timelines, resources, risks, and stakeholder communication to ensure on-time, high-quality delivery
  • Advance AI Capabilities: Lead the development and deployment of predictive models and forecasting solutions; drive adoption of AI-powered features within BI tools (e.g., Copilot, automated insights)
  • Establish AI Best Practices: Implement standards for model lifecycle management (build, validate, deploy, monitor, retrain) while ensuring solutions are explainable, ethical, and aligned with governance standards
  • Drive Innovation: Stay ahead of emerging trends in analytics and AI, evaluate new technologies, and continuously improve tools, processes, and delivery capabilities
Minimum Qualification
  • Bachelor's degree in information systems, Computer Science, Data Science, Business Analytics, or related field.
  • 7+ years of experience in data analytics, data engineering, or business intelligence, including leadership or supervisory experience.
  • Proven track record implementing and managing enterprise analytics platforms, data warehouses, and advanced analytics solutions.
  • Hands-on experience with analytics and BI tools (e.g., Power BI, Tableau, Qlik, OBIEE), SQL, and modern data platforms (e.g., Snowflake, Databricks, Azure, AWS, or GCP).
  • Experience with data governance, MDM, and enterprise data management frameworks.
  • Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model lifecycle management and responsible-AI practices.
  • Strong project management and communication skills for both technical and executive audiences.
  • Master's degree (MBA, MIS, or related).
  • Familiarity with ITIL, TOGAF, or other enterprise architecture and service management frameworks.
About Us

For over 35 years, TERREPOWER (formerly BBB Industries) has been a leader in sustainable manufacturing, driving the circular economy by extending the life of essential products in the automotive and industrial markets.

Founded in 1987 in Daphne, Alabama by the Bigler family, TERREPOWER began as a small regional remanufacturer of starters and alternators. Our commitment to quality and innovation quickly earned us a reputation as a trusted name in the automotive industry.

Recognizing new challenges and opportunities, in 2019 we set our sights on EV battery upcycling-addressing one of the industry's most pressing issues. Our engineering team pioneered solutions to extend EV battery life, pushing the boundaries of sustainable innovation.

Recognizing that demand for solar panels would exceed availability and 100,000 tons of waste would potentially go into landfills by 2035, our team searched for an innovative way to upcycle solar panels. With an eye on the future, we developed ways to upcycle solar panels.

Rooted in family and community values, we're proud to have second-generation employees contributing to our legacy. Backed by Clearlake Capital, we've expanded our footprint into Europe with facilities in Spain, Italy, Denmark, Germany and Poland. We now sustainably manufacture and supply an assortment of nondiscretionary repair parts across more than 90 countries.

As we move forward under the TERREPOWER name, we remain committed to the same values that have always defined us: entrepreneurship, teamwork, customer-centered, sustainability, safety.

Why Join Us?

When you join our team, you become part of a company that is redefining how essential products are made, reused and repurposed to reduce waste and maximize resources.

Here's what sets us apart:

  • Purpose-Driven Work Every day, your work will contribute to extending the useful life of essential products, keeping vehicles on the road and critical systems running.
  • Innovative Mindset We encourage creative problem-solving and bold ideas to push the boundaries of what is possible.
  • Global Reach, Local Impact With operations in North America and Europe, we have a global presence but remain deeply connected to the communities we serve.
  • Growth & Development Whether you're on the production floor, in engineering, or part of our corporate team, we invest in your success through training, mentorship, and career advancement opportunities.
  • A Culture of Collaboration Rooted in teamwork and shared values, our employees work together to tackle challenges and drive meaningful change.

TERREPOWER is an Equal Opportunity Employer. We are committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability unrelated to the ability to perform a job, sexual orientation, or transgender status to the extent protected by law. We believe that diversity drives innovation and success.