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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 ...

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

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 Aug 13, 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 to become a fashion data analyst?

To become a fashion data analyst, you should have a strong background in data analysis, statistics, and fashion industry knowledge. Gaining proficiency in tools like Excel, SQL, and data visualization software such as Tableau or Power BI is essential. Earning a degree in data science, statistics, or fashion merchandising, along with relevant experience or certifications, can improve job prospects.

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.

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.

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. Skills in data analysis, quality control, and familiarity with industry-specific software can enhance employment prospects in this sector.

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?

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

Polymer Scientist

Mentis Systems

Research Triangle Park, NC • On-site

Contractor

Re-posted 4 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.