Innovation Data Analyst

Milliken & Company is a global manufacturing leader whose focus on materials science delivers tomorrow’s breakthroughs today. From industry-leading molecules to sustainable innovations, Milliken creates products that enhance people’s lives and deliver solutions for its customers and communities. Drawing on thousands of patents and a portfolio with applications across the textile, flooring, chemical and healthcare businesses, the company harnesses a shared sense of integrity and excellence to positively impact the world for generations. Discover more about Milliken’s curious minds and inspired solutions at Milliken.com and on Facebook, Instagram, LinkedIn and Twitter.

POSITION TITLE

Innovation Data Analyst

 

POSITION OVERVIEW

This position involves working closely with cross-functional teams to create and implement data-centric strategies aimed at enhancing decision-making, optimizing processes, and speeding up product development. Key responsibilities include designing analytical visualizations, developing data models, exploring data science techniques, and collaborating with various departments to improve business outcomes through data-driven solutions. The primary focus will be on innovation and research data across all business units. This role is based at our Spartanburg, SC headquarters and follows a hybrid work model, with three days on-site and two days remote.

 

JOB RESPONSIBILITIES

· Data Analysis: Collect, process, and analyze data to identify trends, patterns, and

insights.

· Model Development: Create and implement statistical models and machine learning

algorithms to solve complex business problems.

· Business Process Support: Leverage data analytics and AI to optimize product

development, innovation processes, and decision-making.

· Collaboration: Work closely with cross-functional teams to understand their data needs

and provide analytical support.

· Visualization: Develop and maintain dashboards and reports to effectively communicate

findings to stakeholders.

· Innovation: Stay current with industry trends and emerging technologies to continuously

improve data analysis processes.

 

QUALIFICATIONS – REQUIRED

· This position requires candidates to be eligible to work in the United States without requiring sponsorship for a work visa (e.g., H-1B, TN, etc.).

· Education: Bachelor's or Master's degree in Data Science, Statistics, Computer Science,

or a related field.

· Experience: Experience in data analysis, statisti