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Manufacturing Data Analytics Jobs in California (NOW HIRING)

Prolim Global

Manufacturing Analyst 2

El Segundo, CA · On-site

$85/hr

Analyze manufacturing data and business processes to identify improvement opportunities. * Support quality initiatives, process reengineering, and continuous improvement efforts. * Coordinate with ...

Lonza

MSAT Scientist - Data Analyst

Vacaville, CA

$95K - $158K/yr

... analytics * Ensure compliance with GMP, data governance, and regulatory standards. * Prototype emerging technologies (e.g., Raman spectroscopy, RAG, generative AI) for manufacturing applications.

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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 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:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manufacturing Engineer I

Capstone Green Energy Holdings LLC

Van Nuys, CA • On-site

$80K - $90K/yr

Full-time

Re-posted yesterday

Job description

Manufacturing Engineer I
Position Description
Date Issued:
June 13, 2026
Department:
Operational Excellence
Reports to:
Henrique Formolo
Location:
Van Nuys, CA
Position Purpose:
The Manufacturing Engineer I will play a key role in advancing Capstone Energy Plus manufacturing capabilities through process development, equipment ownership, and floor-level engineering execution. This position bridges hands-on production knowledge with the technical rigor expected of an engineer, driving improvements that are both data-informed and physically realized on the shop floor.
The successful candidate will be a self-driven engineer with strong analytical and observational skills, capable of owning processes end-to-end. This role requires a working understanding of assembly, welding, testing, and warehouse operations, and the ability to design, deploy, and standardize manufacturing processes that improve throughput, quality, and floor efficiency.
Reporting to the Operational Excellence Manager, this individual will serve as a technical subject matter expert for assigned equipment and processes, coordinate layout and workstation changes, and lead targeted reengineering initiatives across the manufacturing area. The Manufacturing Engineer I is expected to think critically, document thoroughly, and execute changes that move the operation forward.
Duties and Responsibilities
  • Analyze manufacturing processes (assembly, welding, testing, warehousing) to identify constraints, capacity limits, and engineering opportunities, and develop solutions that improve quality, cycle time, and floor utilization.
  • Design and deploy new manufacturing processes, authoring the supporting Standard Operating Procedures (SOPs) and work instructions, and driving them from concept through floor implementation and operator training.
  • Coordinate factory and workstation layout changes, accounting for station capacity, material flow, ESD compliance, and ergonomic requirements; produce layouts and supporting documentation for stakeholder review.
  • Serve as the subject matter expert (SME) for assigned manufacturing equipment and processes, owning setup standards, troubleshooting, and qualification of process changes.
  • Lead targeted reengineering projects for test cells and production equipment, including high-power electronic module test cells, defining requirements, coordinating execution, and validating the resulting capability.
  • Lead root cause analysis on process and quality issues, applying structured problem-solving and lean methodologies, and implement corrective and preventive actions through to closure.
  • Collect, analyze, and interpret manufacturing data to support process decisions, validate improvement results, and build the technical case for engineering changes.
  • Partner with production supervisors, quality, and supply chain to validate engineering changes on the floor, confirm operator readiness, and verify that process intent is preserved post-implementation.
  • Lead the technical introduction of new equipment and processes, including capability assessment, qualification, and handoff to production with appropriate documentation and training.
Skills and Abilities Required
  • Solid understanding of manufacturing environments, including production line flow, station capacity, takt, equipment constraints, and the engineering levers available to address them.
  • Comfortable on the production floor and willing to engage hands-on with equipment, fixtures, and processes to validate engineering decisions firsthand.
  • Able to decompose processes into clear, standardized steps and author technical documentation, including SOPs, work instructions, qualification protocols, and visual aids.
  • Strong analytical and diagnostic skills, with the ability to move between system-level thinking and the fine details that determine whether a process actually works.
  • Proficiency in data analysis; ability to turn manufacturing data into clear, defensible conclusions.
  • Self-starter attitude with strong organizational and follow-through skills.
  • Strong communication and collaboration skills across all levels of the organization.
  • Able to manage multiple engineering workstreams in parallel, balancing time-sensitive floor support with longer-horizon project deliverables.
Education and Experience Desired
  • Bachelor’s degree in Manufacturing, Mechanical, Industrial, or a related engineering discipline; equivalent combination of an associate’s degree plus demonstrated manufacturing engineering experience will be considered.
  • 0–3 years of experience in a manufacturing engineering, process engineering, or equivalent technical role; internship, co-op, or capstone project experience in a production environment will be considered.
  • Exposure to manufacturing processes such as assembly, welding, machining, test, or material handling; familiarity with process equipment ownership is a plus.
  • Working knowledge of lean manufacturing concepts (5S, value stream mapping, Kaizen) and structured root cause analysis methods (5 Whys, fishbone, 8D).
  • Comfort working in an evolving, process-light environment where the engineer is expected to define structure as much as follow it.
Preferred Qualifications
  • Ability to read and produce mechanical drawings and 2D layouts; working knowledge of AutoCAD, SolidWorks, or equivalent CAD tools.
  • Bilingual (English/Spanish) is a plus but not required.
Work Environment
  • This position is 100% on-site. Remote or hybrid work is not available.
  • Frequent work on the production floor in a manufacturing setting.
  • Periodic use of hand tools, measurement equipment, and standard production equipment to support engineering work.
  • Desk work for engineering analysis, documentation, layout drafting, and reporting.
  • Extensive periods of walking, standing, or light lifting.
  • Occasional extended hours to support key projects or activities.

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