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Manufacturing Data Analytics Jobs in Austin, TX (NOW HIRING)

Data Scientist

Austin, TX · On-site

$128K/yr

Duties: Deliver systems solutions for high-volume semiconductor wafer manufacturing environment through data analytics, utilizing machine learning and artificial intelligence applications.

Data Scientist

Austin, TX · On-site

$128K/yr

Duties: Deliver systems solutions for high-volume semiconductor wafer manufacturing environment through data analytics, utilizing machine learning and artificial intelligence applications.

Manufacturing Engineer

Taylor, TX

$73K - $94K/yr

Analyze production data such as scrap, rework, cycle time, downtime, and yield to identify ... Ensure manufacturing processes align with internal quality management systems and customer ...

Manufacturing Engineer

Taylor, TX

$73K - $94K/yr

Analyze production data such as scrap, rework, cycle time, downtime, and yield to identify ... Ensure manufacturing processes align with internal quality management systems and customer ...

Quality Engineer

Round Rock, TX · On-site

$80 - $105/hr

Analyze quality and manufacturing data to identify trends, recurring issues, and opportunities for process improvement * Support implementation and effectiveness verification of corrective and ...

Quality Engineer

Round Rock, TX · On-site

$67K - $86K/yr

Analyze quality and manufacturing data to identify trends, recurring issues, and opportunities for process improvement * Support implementation and effectiveness verification of corrective and ...

Quality Engineer

Round Rock, TX · On-site

$85 - $110/hr

Analyze quality and manufacturing data to identify trends, recurring issues, and opportunities for process improvement * Support implementation and effectiveness verification of corrective and ...

Quality Engineer

Round Rock, TX · On-site

$67K - $86K/yr

Analyze quality and manufacturing data to identify trends, recurring issues, and opportunities for process improvement * Support implementation and effectiveness verification of corrective and ...

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Showing results 1-20

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 Austin, TX?

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

What job categories do people searching Manufacturing Data Analytics jobs in Austin, TX look for?

The top searched job categories for Manufacturing Data Analytics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Manufacturing Data Analytics jobs?

Cities near Austin, TX with the most Manufacturing Data Analytics job openings:

Manufacturing Yield & Device Analytics Engineer

San Marcos, TX • On-site

$66K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago


Job description

Job Title: Manufacturing Yield & Device Analytics Engineer
Reports to: Process Engineering Manager
Location: San Marcos, Texas

We have one goal: to manufacture quality magnets! We are looking for exceptional individuals who want to learn, build, and lay a foundation for our company for the years to
come.
About this role
You will be responsible for tracking, optimizing, analyzing, and sustaining manufacturing performance to directly improve operational efficiency, product quality, yield performance,
and cost-effectiveness. This role completely bridges physical manufacturing fundamentals with advanced analytical problem-solving, deep process capability analysis, and massive
data-driven decision-making. The ideal candidate behaves like an analytical sleuth: leveraging manufacturing data trends, statistical analysis, and process validation to drive
yield optimization, eliminate waste, and deliver concrete process capability statistics back to design engineering to establish realistic manufacturing design rules.
What good is a job without great benefits to reward your hard work?
What We Have To Offer:

• Competitive Base
• Medical/Dental/Vision insurance on day 1 of employment
• Health Saving Account (HSA) with Employer contribution
• Employee Assistance Program
• 401(k) retirement plan and match program
• Long Term Disability (Employer Paid)
• Short Term Disability (Employer Paid)
• Paid Time Off (eligible after 90 days of employment)
• Sick Leave (eligible after 90 days of employment)
• Company Paid Holidays
Diversity
At Noveon Magnetics, we believe our diversity makes us who we are, and we strive every day to build a culture where everyone feels welcome.
What You'll Be Doing:
Yield Enhancement & Data Analytics
• Drive Yield Improvement: Utilize data analytics and statistical methodologies to proactively identify process variation, pinpoint production inefficiencies, and execute
targeted yield improvement and waste reduction opportunities.
• Statistical Performance Tracking: Analyze high-volume manufacturing data trends, SPC metrics, scrap rates, equipment downtime, cycle times, and overall yield
performance to spearhead continuous improvement initiatives.
• Lead Advanced DOE: Direct complex Design of Experiments (DOE) activities to establish robust process windows, stabilize process robustness, and achieve
challenging process capability targets.
• Predictive Performance Modeling: Develop predictive and preventive improvement strategies through analytical modeling and process performance evaluation.
Design Rule & Cross-Functional Alignment
• Define Manufacturing Design Rules: Deliver precise process capability numbers and statistical performance metrics to Design Engineering to help define, refine, and
enforce realistic design rules for optimal manufacturing scaling.
• Cross-Functional Collaboration: Collaborate cross-functionally with Production, Quality, Supply Chain, and Operations teams to instill a culture of rigorous, data-based
decision-making across the organization.
• Root Cause Diagnostics: Apply advanced root cause analysis methodologies (including 8D, 5 Whys, Fishbone, Pareto Analysis, and full CAPA implementation) to
diagnose sudden process disruptions or quality events.
Sustaining & Smart Manufacturing Optimization
• Quality & Regulatory Compliance: Ensure all yield-enhancement initiatives and process changes conform to company Quality Management Systems (QMS),
supporting ongoing compliance with ISO 9001 and automotive standards.
• Support Digitization & Industry 4.0: Support manufacturing digitization, automation, and smart factory initiatives to improve process consistency and unlock deep
operational visibility.
• Equipment Capacity Evaluation: Evaluate manufacturing equipment performance, capacity limitations, tool utilization, and baseline process efficiency.
• Product Cost Analytics: Conduct thorough product cost analyses including labor touch-time, machine utilization, scrap generation, cycle time, and process-related
cost drivers.
Documentation & Risk Assessment:
Update and maintain critical Process FMEAs (PFMEAs), Control Plans, and process risk assessments based on ongoing yield data analysis.
We are Looking for Someone Who:
Core Requirements
• Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, Electrical Engineering, Materials Science, or a highly related
technical field.
• Experience: 3-7+ years of experience in high-precision manufacturing, process engineering, device engineering, or yield analysis environments.
• Analytical Mastery: Exceptional analytical, statistical modeling, and data interpretation skills.
• Statistical Tooling Background: Deep hands-on experience utilizing SPC, process capability analysis, complex DOE, and statistical problem-solving methodologies.
• Root Cause Expertise: Highly proficient in rigorous root cause analysis and corrective/preventive action implementation.
• Core Manufacturing Fundamentals: Strong working knowledge of manufacturing systems, production optimization, KPI tracking (yield, scrap, OEE, throughput), and
Lean/Six Sigma principles.
Preferred Qualifications (Nice-to-Have)
• Device / Yield Engineering Background: Prior experience as a Device Engineer, Yield Engineer, or Yield Analytics Specialist within a semiconductor fabrication or
advanced precision electronics environment is highly advantageous.
• Data Visualizations & Tools: Advanced Excel skills, with strong experience utilizing Minitab, Power BI, SQL, JMP, or equivalent manufacturing data analysis software.
• Smart Factory Experience: Experience supporting automated equipment, manufacturing digitization, or Industry 4.0 initiatives.
• Certifications: Lean Six Sigma Green Belt or Black Belt certification is a major asset.
• Automotive Core Quality: Familiarity with APQP, PPAP, FMEA, and Control Plan methodologies.
Work Environment:
• Able to move up to 20lbs.
• Prolonged periods sitting at a desk and working on a computer.
• Can wear PPE.
• Is capable of making repetitive movements, including, but not limited to, sitting,
squatting, and walking up and down stairs.
About Noveon Magnetics
At Noveon Magnetics, we're reimagining the rare earth magnet industry and changing the way we electrify the world. We're a fast-growing, diverse team of scientists, engineers, entrepreneurs, and innovators from across the globe united by a shared mission to support the commercialization of our magnet manufacturing technology and forge a new path toward resource efficiency, resource independence and a low-carbon economy.
As the only U.S manufacturer of permanent rare earth magnets essential to a range of technologies that rely on an electric motor--from electric vehicles to medical devices to aerospace and defense systems to clean energy--we're ushering in an electric future that is 100% Made in America. All our operations, from R&D through production, assembly, and delivery, are conducted out of our state-of-the-art manufacturing center in San Marcos, Texas.
Noveon Magnetics is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.