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Production Data Specialist at True Fit
Boston, MA, US

The True Fit Corporation seeks a Data Analyst to join our Delivery Services team. Successful candidates will be a client-focused service professional who is passionate about delivering a world class delivery experience. This role is responsible for supporting recommendations for apparel and footwear brand and retail partners.


  • Serve as a core member of the Delivery Services team for new and existing client engagements.
  • Manage the loading and processing of our client’s product data
  • Work with the technical team to develop a solution design capable of fulfilling the client’s requirements
  • Balance multiple projects simultaneously and hit key project milestone dates
  • Clearly identify any issues with client data and escalate appropriately across the organization
  • Understand the big picture of how our process impacts recommendations and user experience
  • Daily client monitoring to maintain high coverage and recommendation quality
  • Help drive technology improvements for scalability and accuracy
  • Effectively communicate with internal/external project team


  • 1-3 years delivering software solutions to customers as part of a professional services organization
  • Knowledge of apparel and footwear sizing
  • Clear communication (both written & verbal)
  • Ability to work productively in a fast-paced, ever-changing environment
  • Strong listening and communication skills
  • Ability to address and manage through ambiguous situations - assess situations, problem solve and make decisions
  • Experience within retail vertical
  • Undergraduate degree in applicable field and/or relevant work experience

About True Fit

True Fit has built the world’s largest database of apparel, footwear, and consumer fit data in partnership with the world’s leading retailers, millions of consumers, and thousands of top brands. True Fit's unique data set allows the creation of an individualized fit preference model for every user and a separate model for the fit of each garment.  This combination gives us an extraordinary opportunity to develop algorithms that match users to clothing that they will love and keep