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Manufacturing Data Analytics Jobs in Indiana (NOW HIRING)

Manufacturing Engineer

Walkerton, IN ยท On-site

$65K - $84K/yr

Collect, analyze, and interpret manufacturing data to identify trends and improvement opportunities. * Perform statistical analysis (SPC, DOE) to validate process capability and reduce variability.

Manufacturing Engineer

Walkerton, IN ยท On-site

$65K - $84K/yr

Collect, analyze, and interpret manufacturing data to identify trends and improvement opportunities. * Perform statistical analysis (SPC, DOE) to validate process capability and reduce variability.

Manufacturing Engineer

Walkerton, IN ยท On-site

$65K - $84K/yr

Collect, analyze, and interpret manufacturing data to identify trends and improvement opportunities. * Perform statistical analysis (SPC, DOE) to validate process capability and reduce variability.

Manufacturing Engineer

Lafayette, IN ยท On-site

$70K - $90K/yr

We are seeking a Manufacturing Engineering professional to support machine maintenance operations ... Excel and PowerPoint (data analysis, reporting, presentations). * Perform data analytics on part ...

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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 are popular job titles related to Manufacturing Data Analytics jobs in Indiana? For Manufacturing Data Analytics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analytics jobs in Indiana look for? The top searched job categories for Manufacturing Data Analytics jobs in Indiana are:
Infographic showing various Manufacturing Data Analytics job openings in Indiana as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution.
Manufacturing Engineer

Manufacturing Engineer

Polygon Company

Walkerton, IN โ€ข On-site

$65K - $84K/yr

Other

Posted 6 days ago


Job description

Description

The Manufacturing Engineer at Polygon supports the manufacturing operationsย through process optimization, continuous improvement, and technical problem-solving in composite part production. Working under the direction of the VP of Industrial Manufacturing, this role ensures that production processes are stable, efficient, and capable of meeting company goals in quality, delivery, cost, and safety. The Manufacturing Engineer will collaborate with production, quality, maintenance, and design engineering to develop and sustain world-class composite manufacturing processes.ย 

Requirements


Duties & Responsibilities

  • Develop, document, and optimize manufacturing processes for composite lay-up, curing, machining, bonding, and finishing.ย 
  • Design and implement jigs, fixtures, molds, and process aids to ensure repeatability, ergonomics, and operator safety.ย 
  • Support new product introductions (NPI) by creating process plans, routing steps, and tooling to enable smooth transition from prototype to production.ย 
  • Ensure processes comply with applicable quality and engineering standards (e.g., aerospace, defense, industrial specifications).ย 
  • Lead and participate in continuous improvement initiatives focused on scrap reduction, cycle time improvement, and yield enhancement.ย 
  • Conduct time studies, workflow analysis, and root cause investigations to eliminate waste and resolve bottlenecks.ย 
  • Apply Lean Manufacturing and Six Sigma methodologies (5S, DMAIC, value stream mapping) to improve key manufacturing KPIs.ย 
  • Develop, standardize, and maintain work instructions aligned with current processes.
  • Support Engineering Change Orders (ECOs), ensuring accurate implementation of manufacturing documentation and routings.ย 
  • Collaborate with design engineering to evaluate manufacturability during product development and design reviews.ย 
  • Maintain up-to-date manufacturing documentation, including work instructions, process flows, and PFMEAs.
  • Collect, analyze, and interpret manufacturing data to identify trends and improvement opportunities.ย 
  • Perform statistical analysis (SPC, DOE) to validate process capability and reduce variability.ย 
  • Support development of data visualization tools (e.g., Power BI, Grafana) for real-time performance monitoring.ย 
  • Identify and support implementation of automation opportunities in composite manufacturing processes.ย 
  • Collaborate with internal and external partners on automation integration and process control technologies.ย 
  • Support development and maintenance of IIoT-enabled monitoring systems.ย 
  • Partner with Quality Engineering to perform root cause analysis and implement corrective and preventive actions (CAPA).ย 
  • Develop and validate process controls to prevent non-conformances.ย 
  • Participate in MRB activities and provide technical input on non-conforming material disposition.ย 
  • Perform additional duties as assigned.ย 
  • Uphold Polygon's Core Values: Safety, Deliver Quality, Initiative, Collaboration, and Innovation.


Education & Training

  • ย Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Engineering, or a related field.
  • Experience in composite materials and processes (e.g., prepreg lay-up, resin infusion, autoclave, curing) strongly preferred.
  • Industry certifications such as Lean Six Sigma Green Belt, Certified Manufacturing Engineer (CMfgE), or Composite Manufacturing certification are a plus. ย 


Knowledge & Experienceย 

Priority Experiences:

  • Minimum of 2-5 years of hands-on manufacturing engineering experience in a composite or advanced materials environment.
  • Proven ability to improve production processes through Lean and Six Sigma tools.
  • Experience supporting cross-functional teams in a project-based environment.
  • Familiarity with composite tooling design, curing processes, and material handling best practices.

Core Role Knowledge:

  • Strong understanding of composite manufacturing methods, including hand lay-up, vacuum bagging, filament winding, resin transfer molding, or autoclave curing.
  • Proficiency in 3D CAD software (SolidWorks, CATIA, or AutoCAD) for tooling and process design.
  • Knowledge of ECO/NPI workflows and documentation requirements.
  • Familiarity with ERP and MES systems; experience with Infor Syteline is a plus.
  • Basic knowledge of statistical tools (DOE, SPC) and data analytics platforms (Excel, PowerBI, SQL).


Skills & Abilities

  • Technical Problem Solving: Ability to identify process issues, analyze data, and implement effective technical solutions.
  • Hands-On Approach: Comfortable working on the plant floor to observe, measure, and improve processes.
  • Collaboration: Excellent interpersonal skills to work with production operators, engineers, and leadership.
  • Attention to Detail: Strong commitment to quality, documentation accuracy, and process control.
  • Adaptability: Ability to manage multiple priorities in aย fast-paced, high-mix environment.
  • Continuous Learner: Keeps current with emerging composite technologies and manufacturing best practices.


Working Conditions


The physical demands are representative of those that must be met by an associate to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, associate is regularly required sit, stand, stoop, climb, walk, use hands, and talk and hear for a minimum of eight (8) hours per day.