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Supply Chain Analytics Manager

Job in Coffeyville, Montgomery County, Kansas, 67337, USA
Listing for: Crocs
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below

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At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you’re welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you’re not expected to fit a mold.

You’re encouraged to break it and create something better.

Overview
What You'll Do
  • Analyze end-to-end supply chain data to uncover trends, risks, and opportunities.
  • Partner with cross-functional teams to understand operational challenges and develop analytics-driven solutions.
  • Identify and define new analytics initiatives, enhancements, or tools to improve decision-making and efficiency.
  • Define business requirements, assess technical feasibility, and outline timelines for analytics deliverables.
  • Support the development and prioritization of the analytics roadmap.
  • Build intuitive dashboards and tools using platforms like Power BI.
  • Ensure high standards of data accuracy, consistency, and usability.
  • Mentor junior team members and contribute to analytics best practices.
What You'll Bring to the Table
  • Bachelor’s or master’s degree in Engineering, Statistics, or a related field.
  • 5+ years of experience in supply chain analytics or related roles.
  • Strong skills in SQL, Excel, and data visualization tools (e.g., Power BI, Looker).
  • Experience with cloud-based data platforms (e.g., Snowflake).
  • Solid understanding of supply chain domains, including distribution center, inventory, and logistics.
  • Strong business acumen with the ability to turn data into actionable insights.
  • Excellent communication skills and a collaborative mindset.

Preferred Skills and

Qualifications:

  • Familiarity with machine learning and data science concepts
  • Experience with ETL tools (Alteryx, KNIME, etc.)

The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other protected classification.

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