Merchandising Data Intern at Stance
San Clemente, CA, US

Our goal is to create a culture where smart, ambitious, and positive people can thrive. We value our community and want to improve our local schools, neighborhoods, and businesses.  People are the most important element of our business. Our actions, words, and relationships represent what we believe and what we value. Since culture is the collective nature of the people working at Stance, we place a premium on the environment that fosters freedom and accountability across both individual and community levels.

Entrepreneurship

Creativity

Performance

Personal Responsibility

Gratitude

These are the values we place above all others. We seek out individuals whose personal constitution of values overlaps with ours. We believe in living these values will bond our teams and create a company culture that our competitors can never duplicate. As a result, we hire and promote the individuals who get results in a way that aligns with our five core company values.

Summary of the Stance Merchandising Data Internship:

As the Merchandise Data Analyst Intern you will support the business planning and analytics efforts for the Product Department. You must exemplify a high standard for data accuracy; be tenacious in creating the optimal data environment for scale; and be a student of process and operations. Can you spot problems before they arise? Are you able to translate data into a story of key trends and forecast possible outcomes? Are you ruthlessly organized and detail oriented? We are looking for someone who has a thirst for experience and a hunger for learning.

This position reports directly to the Director of Business Analytics.

As the Stance Merchandising Data Intern, you will:

  • Be responsible for Style Master and product nomenclature management.
  • Help with Domo card and dashboard management.
  • Help with reporting for Merchandise team.
  • Ad hoc data and operations support for Planning team.

We are looking for someone with the following skills and qualifications:

  • Good understanding of SQL, Python, or 1-2 years’ experience with cloud based BI platforms (Domo, SAS, Tableau, etc).
  • Understanding or experience with ERP systems a plus (Full Circle, SAP, RepSpark).
  • Strong to advanced Excel skills.
  • Understanding or experience Demand Planning, Operations, or Merchandise Planning a plus.
  • Experience in Apparel/Retail industry a plus.
  • Must be able to work independently and as a member of a cross-functional team.