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Manufacturing Data Analytics Jobs in Texas (NOW HIRING)

CCS INC

Project Manager Data Analytics

Plano, TX · On-site

$65 - $75/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational ...

Atlas Copco

Manufacturing Engineer

Houston, TX · On-site

$85 - $110/hr

Analyze manufacturing data trends to identify continuous improvement opportunities enhancing process efficiency and product quality standards. * Lead engineering projects focused on equipment ...

Atlas Copco

Manufacturing Engineer

Houston, TX

$69K - $89K/yr

Analyze manufacturing data trends to identify continuous improvement opportunities enhancing process efficiency and product quality standards. * Lead engineering projects focused on equipment ...

Atlas Copco

Manufacturing Engineer

Houston, TX · On-site

$69K - $89K/yr

Analyze manufacturing data trends to identify continuous improvement opportunities enhancing process efficiency and product quality standards. * Lead engineering projects focused on equipment ...

Atlas Copco

$69K - $89K/yr

Analyze manufacturing data trends to identify continuous improvement opportunities enhancing process efficiency and product quality standards. * Lead engineering projects focused on equipment ...

CYNET SYSTEMS

Data Analytics project Manager

Plano, TX · On-site

$85 - $90/hr

Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational ... Prepare data for predictive and prescriptive modeling to support strategic initiatives. * Clean ...

CCS INC

Data Analytics Project Manager

Plano, TX · On-site

$90 - $140/hr

Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR ... Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational ...

McKesson Corporation

Manager, Data Analytics

Irving, TX · On-site +1

... and manufacturer relations make better decisions. This role will be at the center of that work ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

The Woodlands, TX · On-site

... and manufacturer relations make better decisions. This role will be at the center of that work ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

Irving, TX · On-site

... and manufacturer relations make better decisions. This role will be at the center of that work ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

McKesson

Manager, Data Analytics

The Woodlands, TX · On-site

... and manufacturer relations make better decisions. This role will be at the center of that work ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

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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 Texas?

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

What job categories do people searching Manufacturing Data Analytics jobs in Texas look for?

The top searched job categories for Manufacturing Data Analytics jobs in Texas are:

What cities in Texas are hiring for Manufacturing Data Analytics jobs?

Cities in Texas with the most Manufacturing Data Analytics job openings:

Manufacturing Data Analytics jobs near you
Infographic showing various Manufacturing Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Project Manager Data Analytics

CCS INC

Plano, TX • On-site

$65 - $75/hr

Full-time

Medical, Dental, Vision

Re-posted 7 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

 Qualifications
  • Bachelor’s degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In total 10+ Years of experience. 
  • 10 years + Project Management experience
  • AWS or Azure Data certifications.
  • 7-8 years of experience in data wrangling, profiling, testing tools.
  • 7-8 years of experience in some of these technologies: Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
  • 5-6 years of experience in Cloud platforms: AWS and/or Azure
  • Proficient in complex SQL and Excel
  • Exposure to Python or R 
Responsibilities
  • Data Democratization related activities to drive data drivel decision making 
  • Develop and maintaining interactive dashboards and reports using Power BI, Tableau, and PowerApps
  • Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools
  • Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision-making
  • Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams