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Manufacturing Data Analytics Jobs in Howell, MI (NOW HIRING)

Our Next Energy

Engineer - Warranty and Reliability

Novi, MI · On-site

$96K - $121K/yr

... manufacturing, and suppliers. Essential Duties and Responsibilities: Warranty Analytics & Reporting * Analyze warranty claims, returns (RMA), and field performance data to identify trends and ...

NOVARES

Technician Machine Setter

Howell, MI · On-site

... Analyze causes and decide upon the appropriate methods and means to perform missions 2- Ensure ... manufacturing data, GALIA labels, material components) -Check conformity of workstation with ...

TalentFish

Data Entry Specialist

Farmington Hills, MI · On-site

$20 - $25/hr

Gather monthly tariff impact data for multiple customers from various manufacturing plant teams ... Strong analytical and problem-solving skills. * Reliable follow-through and accountability.

Yanfeng

Advanced Manufacturing Engineer

Novi, MI · On-site

Mechanical aptitude and analytical problem solving Work flow, line balance and takt time Experience ... DOE and data driven studies experience Six Sigma, Lean, Continuous Improvement training or ...

Watkins Wellness

Director, Information Technology

Novi, MI · On-site

$141.90 - $222.86/hr

Drive the adoption of data analytics and business intelligence capabilities to enhance decision ... Understanding of manufacturing execution systems (MES), operational technology (OT), shop floor ...

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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 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 Howell, MI look for?

The top searched job categories for Manufacturing Data Analytics jobs in Howell, MI are:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Howell, MI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Engineer - Warranty and Reliability

Our Next Energy

Novi, MI • On-site

$96K - $121K/yr

Other

Re-posted 20 hours ago

Job description

The Warranty & Reliability Engineer owns the end-to-end warranty lifecycle, integrating data analytics, failure analysis, and corrective action to improve product reliability and reduce warranty cost. This role bridges field performance with engineering by identifying trends, determining root cause, and driving cross-functional solutions across design, manufacturing, and suppliers.
Essential Duties and Responsibilities:
Warranty Analytics & Reporting
  • Analyze warranty claims, returns (RMA), and field performance data to identify trends and emerging issues
  • Develop and maintain dashboards tracking key warranty metrics (claim rates, cost per unit, failure modes)
  • Provide regular reporting and insights to leadership on warranty performance and financial exposure
  • Support warranty forecasting and reserve modeling in partnership with Finance

Failure Analysis & Root Cause
  • Lead structured root cause investigations using methodologies such as 8D, 5 Whys, and Fishbone analysis
  • Conduct hands-on failure analysis including product teardown, testing, and data evaluation
  • Partner with internal engineering teams and external suppliers to validate failure modes
  • Ensure accurate documentation of findings and root cause conclusions

Corrective & Preventive Actions (CAPA)
  • Drive implementation of corrective actions across design, manufacturing, and supplier processes
  • Track and validate effectiveness of corrective and preventive actions
  • Ensure timely containment of field issues to minimize customer impact
  • Support Engineering Change Orders (ECOs) and process improvements

Reliability Engineering & Continuous Improvement
  • Translate field failure data into actionable inputs for DFMEA and PFMEA updates
  • Collaborate with product and manufacturing engineering to improve reliability and durability
  • Support validation and verification testing for design or process changes
  • Establish and refine reliability targets, test plans, and acceptance criteria

Warranty Cost & Recovery Management
  • Monitor and analyze warranty spend against forecast and budget
  • Identify cost reduction opportunities and support implementation
  • Partner with Supply Chain and Quality to drive supplier recovery and chargebacks where applicable
  • Quantify financial impact of quality and reliability improvements

The ideal candidate will possess the following knowledge, skills and abilities:
  • Strong analytical skills with experience in Excel, SQL, and/or BI tools (Power BI, Tableau)
  • Proficiency in root cause analysis methodologies (8D, 5 Whys, FMEA)
  • Experience with reliability testing, failure analysis, and product validation
  • Familiarity with ERP and warranty management systems
  • Problem-solving and critical thinking
  • Cross-functional leadership and influence
  • Strong communication skills (technical and executive-level)
  • Attention to detail with ability to synthesize complex data
  • Ability to operate in a fast-paced, evolving environment

Preferred Qualifications:
  • Experience in automotive, battery, energy storage, or related industry strongly preferred
  • Proven experience with both data analysis and technical failure investigation

Our Next Energy Inc. (ONE) is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to disability or any other protected status in accordance with applicable federal, state, and local laws.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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