1

Data Analyst Textile Jobs in Kentucky (NOW HIRING)

... or textile operations. At Galls, we believe our people are our culture. Join us and help ensure ... Proficient with Excel or similar tools to analyze production data and drive decisions What We Offer:

Use Pareto analysis and other data tools to identify trends and drive improvement. Customer Lead ... Experience in printing, wallcoverings, textiles, or surface solutions manufacturing is a plus

Quality Technician

Louisville, KY · On-site

$17.25 - $23.25/hr

... textiles. This role ensures daily compliance with HLAC, TRSA Hygienically Clean, and ISO 9001:2015 ... Support customer complaint investigations, collect data, assist root cause analysis, and issue or ...

Quality Technician

Louisville, KY · On-site

$17.25 - $23.25/hr

... textiles. This role ensures daily compliance with HLAC, TRSA Hygienically Clean, and ISO 9001:2015 ... Support customer complaint investigations, collect data, assist root cause analysis, and issue or ...

Data Analyst Textile information

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 Kentucky? For Data Analyst Textile jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Data Analyst Textile jobs in Kentucky look for? The top searched job categories for Data Analyst Textile jobs in Kentucky are:
What cities in Kentucky are hiring for Data Analyst Textile jobs? Cities in Kentucky with the most Data Analyst Textile job openings:

Robotics AI Data Collection Operator (Robot Trainer)

TSMG

Louisville, KY

Full-time

Posted 26 days ago


Job description

About the Role

We are looking for Robotics AI Data Collection Operators to support the development of next-generation intelligent robotic systems.

In this role, you will interact directly with robotic platforms, perform physical tasks, and generate high-quality demonstration data that helps train advanced AI models. Your work will contribute to the development of robots capable of performing real-world tasks in homes, warehouses, manufacturing facilities, and other environments.

Responsibilities
  • Operate robotic systems using teleoperation interfaces and specialized controllers
  • Perform demonstrations of physical tasks to generate training data
  • Execute repetitive tasks with a strong focus on consistency and quality
  • Follow detailed operational procedures and data collection protocols
  • Review recorded demonstrations and identify quality issues
  • Provide feedback on robot performance and task execution
  • Assist with robot setup, calibration, and workspace preparation
  • Maintain accurate records of completed activities
  • Meet daily productivity and quality targets
Example Tasks
  • Picking and placing objects
  • Sorting items into designated containers
  • Opening and closing containers of various sizes
  • Folding clothing and textiles
  • Performing assembly and manipulation tasks
  • Executing multi-step workflows involving tools and components
Requirements
  • Strong attention to detail
  • Good hand-eye coordination and manual dexterity
  • Ability to follow structured procedures
  • Comfortable performing repetitive tasks
  • Basic computer skills
  • Ability to stand or work at a station for extended periods
Nice to Have
  • Experience with robotics or automation systems
  • Manufacturing, assembly, laboratory, or technical experience
  • Gaming or simulation experience using controllers
  • Interest in AI, robotics, or emerging technologies

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.