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Manufacturing Data Analytics Jobs in California (NOW HIRING)

Build and manage analytics-ready datasets to support manufacturing performance, quality, and operational reporting. * Integrate data from enterprise and manufacturing systems, including SAP HANA, SAP ...

Data Engineer

Davis, CA ยท 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 ...

Data Engineer

Davis, CA ยท 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 ...

Data Engineer

Davis, CA

$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 ...

Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to ... This is a key role focused on accurate entry of data and performing directed tasks for the planning ...

Manufacturing Data Entry

Santa Ana, CA ยท On-site

$16.75 - $21.50/hr

We are looking for an energetic, analytical, and detail-oriented individual to join our Operations team. This is a key role focused on accurate entry of data and performing directed tasks for the ...

Manufacturing Data Entry

Santa Ana, CA ยท On-site

$17 - $25/hr

Job Responsibilities We are looking for an energetic, analytical, and detail-oriented individual to ... This is a key role focused on accurate entry of data and performing directed tasks for the planning ...

$116K - $139K/yr

Analytics, Visualization & AI * Build dashboards and reports that translate manufacturing data into actionable insights for operators, supervisors, and leadership. * Develop Power Apps and Power ...

Extract, consolidate, and validate data from multiple systems across the manufacturing environment ... Support development of standardized data structures for reporting and analytics Dashboard ...

Extract, consolidate, and validate data from multiple systems across the manufacturing environment ... Analyze production, quality, and maintenance data to identify trends and inefficiencies * Support ...

... of our manufacturing sites in preparation for ISO 14001 Environmental Management System ... Collecting, organizing, validating, and analyzing ESG and EHS performance data from multiple ...

... of our manufacturing sites in preparation for ISO 14001 Environmental Management System ... Collecting, organizing, validating, and analyzing ESG and EHS performance data from multiple ...

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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 California? For Manufacturing Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Manufacturing Data Analytics jobs in California look for? The top searched job categories for Manufacturing Data Analytics jobs in California are:
What cities in California are hiring for Manufacturing Data Analytics jobs? Cities in California with the most Manufacturing Data Analytics job openings:
Infographic showing various Manufacturing Data Analytics job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Manufacturing Analyst (Manufacturing

Manufacturing Analyst (Manufacturing

Noblesoft Technologies

Alameda, CA โ€ข On-site

Contractor

Posted 28 days ago

Be an early applicant


Job description

Manufacturing Analyst (Manufacturing with data analytics experience)

Location: Alameda, CA

JD:

  • 10+ years of Manufacturing Analyst (Manufacturing data analytics) experience in Life Sciences domain. ย 
  • Collaborate with manufacturing, quality, supply chain, and IT stakeholders to map end-to-end business processes (manufacturing data) and identify optimization opportunities.
  • Support data flow design, system integration across manufacturing /production systems.
  • Ensure solution design and implementation comply with regulatory, cybersecurity, and data integrity requirements (21 CFR Part 11, ISO 13485, GxP).ย ย 
  • Developing dashboards or reports based on data flowing out from Manufacturing & Supply Chain systems for supporting decision making
  • Experience with data visualization and reporting tools (Power BI, Tableau).
  • Education: Professional MBA (PMBA) with a specialization in Manufacturing/Operations Management (business analysis expertise in manufacturing). Bachelor or Masterโ€™s degree in Engineering, Information Systems, Computer Science, or a related discipline.
  • Strong knowledge of complete Manufacturing eco-systems (including their data flow) like MES, ERP, SAP systems
  • Excellent analytical, problem-solving skills.
  • Strong communication and stakeholder management capabilities across multi-functional teams.