1

Manufacturing Data Analytics Jobs in Connecticut

Manufacturing Engineer

Oxford, CT · On-site

$85K - $125K/yr

The Manufacturing Engineer is responsible for optimizing manufacturing processes, driving ... Analyze production data to identify inefficiencies, reduce scrap, and improve cycle times and ...

Manufacturing and Design QA

Danbury, CT · On-site

$76K - $98K/yr

... data analysis, problem-solving, and hands-on investigation to improve product reliability and ... manufacturability in a 24/7 production environment. Key Responsibilities CAPA / Root Cause ...

SIOP Analyst

West Haven, CT

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... of manufacturers worldwide. Our comprehensive range of high-quality solutions and technical ... Bachelor's degree in supply chain, Business Analytics, Data Analytics, Mathematics, Statistics ...

Manufacturing Engineer

New Britain, CT · On-site

$72K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performing machine and process tests and analyzing process data (DOE) * Collaboration with external ... manufacturing equipment * Risk management principles, Process FMEA * English: full professional ...

Manufacturing Engineer

New Britain, CT

$72K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Performing machine and process tests and analyzing process data (DOE) * Collaboration with external ... manufacturing equipment * Risk management principles, Process FMEA * English: full professional ...

Ignition/SCADA Architect

East Granby, CT

$63.50 - $81.75/hr

... for manufacturing environments. * Design control/SCADA systems including databases, interfaces, data analytics and reporting, and scripting (VB, Python). * Interact with clients for requirements ...

Financial Planning & Analysis Manager

Waterbury, CT · On-site

$108K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Proficiency in data visualization and analytics tools (Power BI, Tableau, SQL, Python, or similar). * Experience in chemical manufacturing, industrial manufacturing, or process industries is ...

Senior Product Manufacturing Engineer (Onsite)

Middletown, CT · On-site

$86K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You Will Do The Senior Product Manufacturing Engineer will provide support to CSMC ... Proficiency in statistics, data analytics, DOE, and multivariate statistics * Experience in using ...

Data Engineer Lead- PMS & QA

Trumbull, CT · On-site +1

  • Medical

  • Retirement

  • PTO

The Data Engineer Lead - PMS & QA leads data analysis, visualization, and reporting of Medical ... Manufacturing), Regulatory Affairs and Post Market Surveillance teams. Knowledge, Skills and ...

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 Connecticut?

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

What job categories do people searching Manufacturing Data Analytics jobs in Connecticut look for?

The top searched job categories for Manufacturing Data Analytics jobs in Connecticut are:

Infographic showing various Manufacturing Data Analytics job openings in Connecticut as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution.

Manufacturing Engineer

PTA Plastics

Oxford, CT • On-site

$85K - $125K/yr

Full-time

Re-posted 16 days ago


Job description

Company Overview:
PTA Plastics, an employee-owned and innovative leader in the plastic injection molding, contract manufacturing and tool-building industry, is looking for an Manufacturing Engineer to join our dynamic team.
At PTA Plastics, we're more than just a manufacturer; we partner with Fortune 500 OEMs in the medical device, defense, homeland security, and technology sectors, constantly pushing the boundaries of product development and manufacturing excellence. As an employee-owned company, every team member has a stake in our success, creating a collaborative and entrepreneurial environment where innovation thrives.
Job Summary:
The Manufacturing Engineer is responsible for optimizing manufacturing processes, driving continuous improvement, and supporting new product introduction across molding and secondary operations. This role partners cross-functionally to improve safety, quality, delivery, and cost through data-driven decision-making, automation, and standardized processes.
Pay: $85,000-$125,000
Essential Duties/Responsibilities:
Process Development & Optimization
  • Develop, implement, and continuously improve manufacturing and assembly processes for injection molding and secondary operations.
  • Analyze production data to identify inefficiencies, reduce scrap, and improve cycle times and overall equipment effectiveness (OEE).
  • Work with Work Instructions Specialist to establish and maintain standardized work instructions, process documentation, and visual controls.
  • Evaluate, design, and implement fixtures, hand tools, and other aids to improve productivity, consistency, and operator ergonomics.

New Product Introduction (NPI)
  • Lead manufacturing readiness for new product launches, including process development, new fixture design, and documentation.
  • Collaborate with Engineering, Tooling, and Quality to ensure designs are manufacturable and meet customer requirements.
  • Support mold sampling activities and define production standards (work instructions, layouts, packaging, etc.).
  • Lead BOM reviews.

Cross-Functional Collaboration
  • Partner with Quality on root cause analysis, corrective/preventive actions (CAPA), and MRB activities.
  • Work with Tooling and Maintenance to support mold performance, repairs, and improvements.
  • Coordinate with Supply Chain and external vendors to improve delivery, quality, and cost performance.

Continuous Improvement
  • Lead and participate in Lean/CI initiatives to drive waste reduction and process stability.
  • Support KPI tracking and reporting (scrap, efficiency, downtime, throughput).
  • Identify and execute cost-saving and process improvement projects.

Other Duties/Responsibilities:
  • Support daily production troubleshooting and escalation as needed.
  • Maintain accurate documentation within ERP/MES systems.
  • Participate in design reviews, and product introduction meetings.
  • Ensure compliance with safety, quality, and regulatory standards.
  • Other duties as assigned.

Qualifications & Requirements:
  • Bachelor's degree in Engineering (Manufacturing, Mechanical, Industrial) or equivalentexperience.
  • 3 - 7+ years of experience in plastics manufacturing (injection molding preferred).
  • Experience with process development, tooling, and troubleshooting in a production environment.
  • Experience using Computer Aided Design (CAD) software.
  • Familiarity with automation, robotics, or cobots is strongly preferred.
  • Working knowledge of Lean Manufacturing, Six Sigma, or continuous improvement methodologies.
  • Experience with ERP/MES systems and data analysis tools.
  • Strong communication, problem-solving, and project management skills.

Physical Requirements:
  • Ability to stand, walk, and move around the production floor for extended periods.
  • Capable of lifting and carrying heavy objects weighing up to 50 pounds.
  • Manual dexterity and hand-eye coordination for handling small tools, machine components, and molds.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Comfortable wearing personal protective equipment (PPE) such as safety glasses, gloves, and ear protection.
  • Occasional bending, kneeling, and reaching to access equipment and perform maintenance tasks.
  • Good vision and color perception for inspecting parts and identifying any defects or abnormalities.
  • Ability to work in temperature-controlled environments and withstand exposure to noise levels associated with manufacturing machinery.
  • Ability to receive, comprehend and utilize required training from OSHA and Company including but not limited to the following:
  • Hazard Communication
  • Lock Out/Tag Out

Equal Employment Opportunity & ADA Compliance Statement:
PTA Plastics is committed to providing equal employment opportunities to all individuals, including those with disabilities. As part of this commitment, PTA Plastics complies with the Americans with Disabilities Act (ADA)andConnecticut's Fair Employment Practices Act (CFEPA), which prohibit discrimination against individuals with disabilities in hiring, job assignments, promotions, compensation, benefits, training, and other aspects of employment.
If you require a reasonable accommodation to participate in the application or interview process or to perform the essential functions of this position, please contact HR@ptaplastics.com. Reasonable accommodations will be provided in accordance with applicable laws to enable individuals with disabilities to perform essential job duties.
This job description is intended to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties, and skills required. Employees may be required to perform other duties as assigned.