What you’ll do:

  • Recruit, staff and manage a nationwide team of data collectors
  • Create and manage client-specific schedules as they relate to data collection
  • Work with internal and external technology resources to continuously improve and maintain the FoodEssentials proprietary data collection mobile application
  • Manage client-specific collection assignments and efficiently delegate to data collection network
  • Create and maintain data collection metrics around staffing, costs, collection rates and assignments, used to report to management
  • Liaise with clients on a weekly basis to ensure all data collection milestones are on schedule
  • Support Customer Success Managers in researching potential clients, preparing customer demos and correspondence, creating presentations, and other needs
  • Additional office administrative tasks may be involved

Your Creds:

  • Bachelor’s Degree Required
  • Experience with Microsoft Excel
  • Experience with client management and/or communicating with clients
  • Data-driven decision maker
  • Intellectually honest
  • Team player – working in isolation is not an option
  • Problem solver
  • Excellent communication skills
  • Life long learner

Preferred Creds:

  • Experience with querying data-using tools such as MySQL

  • Experience staffing and managing teams remotely

About Label Insight

LabelINSIGHT is a rapidly growing VC backed start-up growing in the Chicago and St. Louis markets. Starting as FoodEssentials, LabelINSIGHT is now the industry’s most powerful and innovative consumer facing product data insight exchange for CPG manufacturers and retailers. The industry's largest retailers and manufacturers are looking at the LabelINSIGHT platform as an integral solution to manage their product data, increasing their ability to respond to the demands for transparency in the market. LabelINSIGHT's partnership with the FDA, proprietary technology, and scientific data structures set us apart from all other solutions in the industry. Our mission has always been to make vast amounts of product label data accessible and easily analyzable.

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