Technical Specialist

St. Louis, Missouri, United States Full-time

We are looking for a Technical Specialist to join our Data Transformation team. The candidate should be a self starter who has strong data manipulation and problem solving skills. He/she will be responsible for a wide variety of complex data analysis projects that help the company to improve and innovate, and will have a high potential to grow.


  • Collaborate with Subject Matter Expert (SME) and Engineering to create and maintain Label Insight attributes in Drools via Intelij/Git
  • Build operational and management dashboard using business intelligence (BI) platform Looker
  • Facilitate company’s data science initiative by conducting data cleaning, data wrangling with Python/R
  • Collaborate with QA to improve our taxonomy quality through anomaly detection
  • Serve as a database touch point for the Data Transformation team, retrieve, import/export, manipulate and interpret data within SQL data warehouse supporting business use cases
  • Retrieve, manipulate data from SQL and Apache Solr for custom reporting
  • Collaborate with Data and Engineering in designing data taxonomy architecture and maintaining data integrity
  • Run ad-hoc analysis to answer complex business questions as needed
  • Locate and suggest areas for potential technical improvements that could lead to better efficiency and innovation

Preferred Qualities:

  • Strong analytical thinker and problem solver
  • Motivated and conscientious self-starter
  • Thrives in a fast-paced, team environment
  • Excellent verbal and written communication skills
  • Innovative and resourceful problem solver
  • Intellectually honest and makes data driven decisions

Preferred Requirements:

  • A Bachelor’s degree (preferably in Computer Science, or a related technical/analytical field)
  • Experience with SQL/MySQL Workbench and Microsoft Excel
  • Experience with data analysis, anomaly detection, and/or data entry error detection
  • Exposure to modern programming language and/or scripting language, Python preferred
  • Experience with source control and versioning with GitHub preferred
  • Basic knowledge in Business Intelligence (BI) platform
  • Willingness to learn test-driven development practices for Business Rules engines, particularly Drools
  • Experience in CPG, manufacturers, retailers is helpful

About Label Insight:

Label Insight is a high-growth technology company founded with the mission of helping CPG companies and retailers to help their consumers understand what’s in the products they use and consume. Our world class SaaS data platform is transforming the way brands and retailers interact with and share product data in order to bring product transparency to the consumer.

Our team is unique because it’s comprised not only of tech engineers and data scientists, but food science, nutrition experts and product formulation specialists, that enable the enriched attribution capability of our tools. We’ve also attracted top senior executive talent with decades of leadership experience to help manage our rapid growth and scale.

Our Values:

As a team, we share a common set of values: We are innovative problem solvers. We believe in transparency, both in our product and in our work. We have curious minds and aren’t afraid to challenge the status quo. We value scientific inquiry. We aren’t afraid to take risks, and fail fast to learn and improve. We embrace uniqueness. We are lifelong learners and value intellectual honesty.