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Data Analyst Textile Jobs in Raleigh, NC (NOW HIRING)

The candidate should be able to plan and conduct scientific experiments, and effectively analyze ... data • Ability to design, execute, and appropriately document experiments • Good written and ...

Manufacturing Engineer

Middlesex, NC · On-site

$71K - $105K/yr

They will draw data-driven conclusions, provide input, and implement improvements to processes ... Analysis (RCA) and manufacturing input, DMR resolutions • Engineering o Capital Projects ...

Data Analyst Textile information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do data analyst textile jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data analyst textile in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

How does a Data Analyst in the textile industry typically collaborate with production and design teams?

As a Data Analyst in the textile industry, you will frequently work alongside production and design teams to translate raw data into actionable insights. This collaboration often involves analyzing trends in material usage, production efficiency, and customer preferences, then sharing findings through reports or presentations. Your analyses help inform decisions on inventory management, product development, and process optimization, making clear communication and teamwork essential. Regular meetings with cross-functional teams are common, ensuring that data-driven recommendations align with both operational goals and creative directions.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts in the textile industry will continue to be essential for interpreting complex data, making strategic decisions, and applying domain expertise that AI cannot replicate. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving environment.

What does a Data Analyst in the textile industry do?

A Data Analyst in the textile industry is responsible for collecting, processing, and interpreting data related to textile production, sales, supply chain, or quality control. They use statistical tools and analytical techniques to identify trends, forecast demand, and help optimize manufacturing processes. Their insights help companies improve efficiency, reduce costs, and make informed business decisions. Additionally, they often collaborate with other departments such as production, sales, and marketing to provide data-driven recommendations.

What field is the highest paid data analyst?

Data analysts working in finance, technology, and consulting tend to have the highest salaries, especially those with expertise in advanced analytics, machine learning, and programming tools like Python or R. Specializing in industries with high revenue potential and acquiring certifications such as CFA or SAS can also increase earning potential.

Is 40 too late for data science?

For a Data Analyst in the textile industry, starting a career in data science at age 40 is feasible, as many skills such as statistical analysis, programming, and data visualization can be learned at any age. Experience in the textile sector can also provide valuable domain knowledge that complements data science skills, and continuous learning through online courses or certifications can help transition into more advanced roles regardless of age.

Are textile jobs in demand?

Textile jobs, including roles like data analysts in the textile industry, are generally in demand due to ongoing manufacturing needs and technological advancements such as automation and data management tools. Employment opportunities depend on regional industry growth and the ability to analyze production data effectively.

What is the difference between Data Analyst Textile vs Textile Quality Analyst?

AspectData Analyst TextileTextile Quality Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Textile Engineering, Quality Management, or related field
Work EnvironmentData analysis teams, offices, manufacturing plantsQuality control labs, manufacturing facilities, textile mills
Employer & Industry UsageFashion brands, textile manufacturers, data firmsTextile mills, apparel companies, quality assurance firms
Common Search & ComparisonYesYes

The Data Analyst Textile focuses on analyzing data related to textile production, sales, and market trends, while the Textile Quality Analyst concentrates on inspecting and ensuring the quality of textile products. Both roles require industry-specific knowledge but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Data Analyst in the textile industry, and why are they important?

To thrive as a Data Analyst in the textile industry, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau or Power BI is essential, along with knowledge of textile production systems. Exceptional attention to detail, problem-solving abilities, and effective communication skills help translate complex data insights for diverse stakeholders. These competencies are critical for optimizing production processes, improving quality, and driving data-driven decisions in a competitive textile market.
What are popular job titles related to Data Analyst Textile jobs in Raleigh, NC? For Data Analyst Textile jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Textile jobs in Raleigh, NC look for? The top searched job categories for Data Analyst Textile jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Analyst Textile jobs? Cities near Raleigh, NC with the most Data Analyst Textile job openings:
Infographic showing various Data Analyst Textile job openings in Raleigh, NC as of July 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Polymer Scientist

Full-time

Posted 10 days ago


Job description

The successful candidate must have hands-on experience working in a chemicals/materials/biomedical/textiles lab, be familiar with basic synthetic (polymers or small molecules) chemistry techniques, and have hands-on experience using instruments for materials characterization (rheology, Instron, DSC, GPC, and spectroscopic methods). Additional experience with test method development using medical prototypes, working knowledge of biomedical polymeric materials, and preclinical testing in animals is also valuable.
The candidate should have excellent communication and interpersonal skills, ability to proactively identify and resolve experimental challenges, and a strong desire to gain experience in developing medical technologies. The candidate should be able to plan and conduct scientific experiments, and effectively analyze, interpret, and present experimental results while collaborating with team members from a variety of backgrounds. The candidate should also be able to adapt to changing requirements that can arise in a dynamic work environment and will be expected to contribute intellectually to areas not directly related to his or her field.
Education:
PhD suggested, Bachelors required
Requirements
• Hands on laboratory experience working with various polymers/biomaterials/formulations
• Experience with design and development of a polymeric materials-based solution for a biomedical or pharmaceutical application
• Hands on experience characterizing formulations/polymers (gels, polymer blends, emulsions, particles, biomedical polyesters, other viscoelastic systems etc.)
• Experience operating commonly used materials characterization tools (such as rheometer, Instron, spectroscopic methods, DSC, GPC, etc.) and interpreting resultant data
• Ability to design, execute, and appropriately document experiments
• Good written and verbal technical communication skills
• Ability to effectively interpret and present scientific results
Desired skills
• Experience developing test methods to assess biomechanical performance of prototypes
• Knowledge of polymer processing methods (extrusion, thermoforming, 3D printing, etc.), resorbable materials
• Experience with design of preclinical studies and interpretation of resultant data
• Experience in basic synthetic chemistry (small molecule or polymer synthesis)
• Willingness to work occasionally with biological specimens (e.g. animal tissues) for lab scale testing
Education:
Graduate degree (Ph.D. preferred) or equivalent work experience in the fields of Chemistry, Chemical Engineering, Textile engineering, Biomedical Engineering, Materials Science and Engineering, or related scientific discipline. Prior work experience in a medical device R&D organization is a plus.