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Manufacturing Data Analytics Jobs (NOW HIRING)

Qualifications & Skills · Bachelor's degree in Computer Science, Data Analytics, Business Management, or equivalent work experience. · 5 years of experience in supply chain or manufacturing ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and ...

Operations Data Analyst - Manufacturing / Production An outstanding, full-time , permanent position has become available in the Navasota , TX area for an individual with experience in data analysis ...

Manufacturing Data Architect

Dallas, TX · On-site

$63 - $81/hr

... and analytics--to ensure that data solutions support real-time decision-making, production ... manufacturing processes. • Collaborate with business stakeholders and IT to translate ...

Forward Deployed Data Engineer

Golden, CO · On-site

$118K - $142K/yr

This role reports to a leader in engineering team and works closely with IT, including Data & Analytics, Manufacturing IT/OT, Enterprise Applications, Cybersecurity, and Architecture. The Forward ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

This role focuses on using data, analytics, and AI to analyze and use that knowledge to improve manufacturing performance, test coverage, and operational decision-making. The Data Engineer will ...

Forward Deployed Data Engineer

Golden, CO

$118K - $142K/yr

This role reports to a leader in engineering team and works closely with IT, including Data & Analytics, Manufacturing IT/OT, Enterprise Applications, Cybersecurity, and Architecture. The Forward ...

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

This role focuses on using data, analytics, and AI to analyze and use that knowledge to improve manufacturing performance, test coverage, and operational decision-making. The Data Engineer will ...

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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.

More about Manufacturing Data Analytics jobs
What cities are hiring for Manufacturing Data Analytics jobs? Cities with the most Manufacturing Data Analytics job openings:
What states have the most Manufacturing Data Analytics jobs? States with the most job openings for Manufacturing Data Analytics jobs include:
Infographic showing various Manufacturing Data Analytics job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Manufacturing Data Analyst

Manufacturing Data Analyst

Addison Group

Waukegan, IL

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

Manufacturing Data Analyst

Employment Status: Full-Time, Salaried/Exempt

Location: Waukegan, IL

Schedule: Onsite daily Monday through Friday from 8 am – 5 pm CT.

Salary: $75,000 - $95,000

Position Overview

The Manufacturing Data Analyst will enhance supply chain and manufacturing performance through data-driven insights, SIOP reporting, forecasting support, inventory analysis, ERP data validation, and operational KPI reporting.

Key Responsibilities

· Deliver accurate and timely business intelligence to support Supply Chain, SIOP, planning, and manufacturing operations.

· Develop and maintain reports and dashboards related to forecast accuracy, inventory health, supplier performance, production efficiency, and operational KPIs.

· Own SIOP data tracking and provide weekly and monthly updates that highlight gaps, risks, and improvement opportunities.

· Partner with Planning, Commercial, Operations, Purchasing, and Finance teams to align demand forecasts with operational capabilities.

· Maintain and improve databases, data models, and reporting tools that support proactive decision-making.

· Analyze historical data to identify trends, variances, risks, and improvement areas in production planning and material availability.

· Validate ERP data, including routings and BOMs, and act as a gatekeeper for master data changes.

· Support monthly forecasting, scenario planning, benchmarking, and continuous improvement initiatives.

Qualifications & Skills

· Bachelor’s degree in Computer Science, Data Analytics, Business Management, or equivalent work experience.

· 5 years of experience in supply chain or manufacturing operations with a focus on data analysis, forecasting, and strategic business operations.

· 2 years of experience directly supporting or managing Sales, Inventory and Operations Planning (SIOP).

· Advanced Excel skills, including VLOOKUPs, Pivot Tables, Power Query, SUMIFs, and related functions.

· Experience with ERP/MRP systems such as Microsoft Navision or similar platforms.

· Experience with Power BI, Tableau, or other visualization tools preferred.

· Experience with forecasting and trend analysis tools or methods, including time series and regression models.

· Strong ability to translate complex data into actionable insights for cross-functional stakeholders.

Physical Requirements

· Ability to lift up to 15 pounds at a time.

· Ability to sit for prolonged periods while working at a computer.

· Ability to work in a traditional office setting with normal noise levels.

· Ability to view a computer screen for extended periods and review detailed data.

Benefits

The company offers a comprehensive benefits package that includes medical, dental, and vision insurance, 401(k), paid maternity leave, paid paternity leave, tuition assistance, disability insurance, paid time off and holidays, and additional wellness and lifestyle benefits.