1

Manufacturing Data Analytics Jobs in California (NOW HIRING)

Be Seen First

Data Analytics Analyst

Riverside, CA · On-site

$45K - $103K/yr

Education and/or Experience Bachelor's degree in data science, Business Analytics, Supply Chain ... a manufacturing or ERP environment. Epicor Kinetic preferred. Technical Skills Expert-level ...

Be Seen First

Manufacturing Engineer

Concord, CA · On-site

$90K - $104K/yr

Data Analysis & Performance Monitoring * * Collect and analyze manufacturing data related to quality, productivity, utilization, downtime and yield * Conduct time studies, capacity analyses and ...

Analyze complex manufacturing and engineering data to identify trends and actionable insights. * Lead cross-functional data engineering needs, reports, and analytics on NPI/NPD project portfolios and ...

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

Showing results 21-40

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 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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst, Manufacturing

Anduril Industries

Santa Ana, CA • On-site

Other

Posted 19 days ago


Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 75,501 frontline employees who took The Breakroom Quiz


Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril's Manufacturing Operations team is seeking a Production Data Analyst to join our team. The Manufacturing Operations team ensures the company's production processes run smoothly, efficiently, and are continuously improving to deliver cutting-edge defense capabilities. This team uses data-driven methodologies and advanced analytics to optimize production lines, improve manufacturing efficiency, and drive operational excellence. Reporting directly to Manufacturing Operations leadership, the team works cross-functionally across engineering, supply chain, and business operations to ensure factory processes meet and exceed world-class operational goals.
ABOUT THE ROLE
As a Data Analyst for the Manufacturing team at Anduril, you will be a key player in advancing the efficiency and effectiveness of Anduril's production operations. You will use your expertise in data analytics to dive deep into production metrics, operational workflows, and system performance to extract actionable insights. Your work will empower manufacturing teams to identify bottlenecks, improve quality, streamline production processes, and scale operations intelligently. Together with manufacturing leadership, you will ensure that production data can be leveraged to solve critical challenges, inform strategic decisions, and build the next generation of defense manufacturing capabilities.
WHAT YOU'LL DO
  • Use manufacturing/production and operational data to develop insights and solutions that optimize workflows, enhance productivity, and improve product quality in the manufacturing process.
  • Create advanced dashboards and analytics tools using visualization platforms (e.g., Tableau, Power BI) and programming languages (e.g., SQL, Python, etc.) to measure and communicate performance metrics, identify trends, and drive improvements.
  • Collaborate with cross-functional teams to align analytics solutions with production objectives and broader business goals.
  • Act as a primary liaison between manufacturing operations and other business units, including IT and engineering teams.
  • Contribute to the integration, improvement, and optimization of manufacturing systems, including MES, ERP, and WMS.
  • Support the creation of seamless data workflows between systems to drive reliability and efficiency.
  • Lead and facilitate Lean Manufacturing, Six Sigma, Kaizen, or other initiatives to drive production teams toward best-in-class operational standards.
  • Monitor equipment performance, identify downtime patterns, and work on predictive maintenance strategies to prevent disruptions.
  • Conduct in-depth analysis of resource utilization, production outputs, and process flows to diagnose performance issues and recommend solutions.
  • Develop, track, and refine manufacturing KPIs to measure performance, highlight inefficiencies, and ensure accountability across production operations.
  • Document production processes, analytics workflows, and best practices to provide a foundation for training and ongoing operational improvements.
  • Stay updated on emerging technologies and industry trends in manufacturing analytics, digital transformation, and advanced automation to identify innovations Al and advanced data applications.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Data Science, Manufacturing/Industrial Engineering, Computer Science, Software Engineering, Operations Management, or a related field. A Master's degree is preferred (e.g., MBA, MS in Engineering, or Data Science).
  • Minimum of 5 years of experience in a manufacturing, business intelligence, or data analytics role with a focus on production data.
  • Proven ability to develop actionable insights that drive observable efficiency, productivity, and quality improvements.
  • Advanced skills in data visualization and analytics tools, including Tableau, Power BI, Python, SQL, or similar platforms for reporting and dashboard creation.
  • Solid understanding of manufacturing systems (MES, ERP, WMS) and data integration with operational workflows.
  • Proficiency in data modeling, pattern identification, and advanced statistical analysis of production performance metrics.
  • Experience working with manufacturing/production teams to understand on-the-ground challenges and develop scalable solutions to address them.
  • Exceptional communication and stakeholder management skills for conveying complex data in actionable, meaningful ways.
  • Highly organized and capable of independently prioritizing tasks to meet deadlines in a fast-paced environment.
  • Ability to lead cross-functional initiatives toward continuous improvement and data-driven transformation.
  • Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

PREFERRED QUALIFICATIONS:
  • Hands-on experience implementing and scaling data insights for predictive maintenance or process control using AI, machine learning models, or digital twin systems.
  • Familiarity with predictive analytics platforms, tools, and strategies that enhance production performance.
  • Demonstrated knowledge of industrial controls, SCADA, MES, and related protocols like ISA-95 or OPC UA.
  • Advanced data and business intelligence certifications such as Power BI Expert, Tableau Professional, Six Sigma Black Belt, or similar credentials.
  • Successful track record of applying Lean, Six Sigma, or other process optimization methodologies within manufacturing environments.
  • Experience working in defense, aerospace, or similarly regulated manufacturing environments with strict quality and security standards.

US Salary Range
$112,000-$149,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
  • No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
  • Please always verify communications:
    • Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
    • Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to
  • Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
  • What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

Data Privacy
To view Anduril's candidate data privacy policy, please visit
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.


What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media