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

Aquent

Data Analyst

Austin, TX · On-site

$65 - $70/hr

You will have access to a wealth of manufacturing and quality data, enabling you to build ... Design and build robust analytical datasets and scalable data pipelines using industry-leading ...

TRG

IT Data Analyst 5

Austin, TX · On-site

The role partners closely with Manufacturing IT, plant operations, engineering, quality ... Productionize analytics and models in partnership with data engineering, application, and ...

New

Technology Resource Group, LLC

IT Data Scientist

Austin, TX · On-site

$100 - $130/hr

Identify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources. * Build reliable analytical datasets and ...

New

Epitec

Data Scientist

Austin, TX · On-site

$64 - $74.40/hr

The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams. Main Responsibilities: * Build reliable analytical datasets and ...

eShocan

IT Data Analyst 5- Data Scientist

Austin, TX · On-site

The role partners closely with Manufacturing IT, plant operations, engineering, quality ... Build reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks. Perform ...

New

Actalent

Manufacturing Engineer

Taylor, TX · On-site

$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 ...

Actalent

Manufacturing Engineer

Taylor, TX · On-site

$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 ...

The Dolphin Group

Manufacturing Process Engineer

Taylor, TX · On-site

$74K - $99K/yr

Proven ability to analyze and optimize manufacturing processes using production data and performance metrics. * Experience creating and maintaining work instructions, standard work, and process ...

The Goodkind Co

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 ...

Goodkind Co

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 ...

The Goodkind Co

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 ...

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All JobsManufacturing Data Analyst JobsManufacturing Data Analyst Jobs in Austin, TX

Manufacturing Data Analyst information

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$33.7K

$81.9K

$134.8K

How much do manufacturing data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for manufacturing data analyst in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

What is a manufacturing data analyst?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What are the typical daily responsibilities of a manufacturing data analyst?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst?

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Austin, TX?

The most popular types of Manufacturing Data Analyst jobs in Austin, TX are:

What are popular job titles related to Manufacturing Data Analyst jobs in Austin, TX?

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

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

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

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

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

Manufacturing Data Analyst jobs near you
Infographic showing various Manufacturing Data Analyst job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

Data Analyst

Aquent

Austin, TX • On-site

$65 - $70/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Placement Type:
Temporary
Salary:
$65-70 Hourly
Start Date:
Sep 7, 2026
Aquent is partnering with a leading global innovator at the forefront of transforming manufacturing operations. This is an unparalleled opportunity to join a dynamic team dedicated to building cutting-edge AI applications from the ground up. As a pivotal contributor, you will leverage your expertise to revolutionize how manufacturing data is used, directly impacting production lines, product quality, and operational efficiency across numerous facilities. Your work will not only solve complex challenges but also shape the future of intelligent manufacturing, offering a unique chance to see your ideas come to life and drive significant change.
About the Opportunity
Step into a truly impactful role where you will be instrumental in developing a brand-new application/system. This is a greenfield project, offering you the creative freedom to design and implement innovative AI solutions. You will have access to a wealth of manufacturing and quality data, enabling you to build sophisticated data models and AI applications that enhance safety, quality, throughput, cost-efficiency, and equipment reliability. This role is for a true Data Scientist who thrives on digging into complex data, uncovering insights, and building solutions that have a tangible, enterprise-wide impact.
What You'll Do
  • Translate complex operational and business challenges into measurable analytical questions and actionable use cases.
  • Identify, access, and critically assess data from diverse manufacturing sources, including operational execution systems, quality systems, equipment historians, and maintenance platforms.
  • Design and build robust analytical datasets and scalable data pipelines using industry-leading tools such as SQL, Python, Spark, and Databricks.
  • Conduct in-depth exploratory analysis, statistical studies, root-cause investigations, forecasting, optimization, and experimentation to drive data-driven decisions.
  • Develop, rigorously validate, document, and continuously monitor predictive or prescriptive models for critical use cases like downtime prediction, scrap reduction, defect detection, bottleneck identification, anomaly detection, yield optimization, and preventive maintenance.
  • Evaluate data quality, lineage, coverage, potential missingness, bias, and overall operational readiness before model deployment.
  • Transform complex analytical findings into clear, practical recommendations that empower plant personnel and leaders in their daily decision-making.
  • Create intuitive dashboards, compelling visualizations, comprehensive reports, and user interfaces that effectively communicate trends, risks, and opportunities.
  • Collaborate with data engineering, application development, and operational technology teams to successfully productionize analytics and models.
  • Monitor model performance, detect data drift, ensure pipeline health, and track business impact post-deployment.
  • Support strategic modernization initiatives, including cloud migration, data-product development, automation, and the retirement of legacy systems.
  • Adhere to strict data governance, cybersecurity, AI governance, safety, privacy, and change-management requirements.
  • Present complex technical results to both technical and non-technical audiences, maintaining clear and thorough documentation.
  • Champion reusable analytical methods, standards, and best practices across various manufacturing domains.

What You'll Bring
Must-Have Qualifications:
  • A Bachelor's degree in a technical field such as Computer Science, Computer Engineering, or a related discipline.
  • At least 8-10 years of professional experience, with a significant focus on data.
  • Extensive experience (8-10 years) in data modeling, designing and implementing effective data structures.
  • Proven expertise (8-10 years) in building and managing robust data pipelines.
  • Demonstrated ability (8-10 years) in data analytics, specifically extracting meaningful insights and building solutions from complex and often messy data.
  • Proficiency in programming languages and tools such as SQL, Python, Spark, and Databricks.
  • Strong background in applying statistics, machine learning, and optimization techniques.
  • Excellent communication skills, capable of presenting technical information to diverse audiences and fostering collaboration across teams.
  • Legal eligibility to work in the United States without employer sponsorship (direct company sponsorship, employer as immigration employer of record, or any work authorization requiring written immigration support from an employer).

Nice-to-Have Qualifications:
  • Experience with application AI platform skill sets.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!
Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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