Supply Chain Data Analyst

doTERRA International LLCPleasant Grove, UT

About The Position

Analysts in this role act as internal consultants who provide reporting and analysis to the Operations department using Tableau, Snowflake, and other analytics tools. Individuals in this role work to identify valuable data insights and effectively communicate these insights to stakeholders. Additionally, we support company leadership by gathering and presenting specifically requested data.

Requirements

  • Undergraduate degree required
  • Exceptional interpersonal, communication, listening, and presentation skills
  • Must possess strong technical acumen along with an ability to effectively communicate with non-technical business end users
  • Strong problem-solving skills
  • Excellent time management
  • The ability to work both as a team and independently
  • Proficiency in Microsoft Excel
  • Passion and aptitude for quickly learning new technical skills

Nice To Haves

  • degree in Global Supply Chain, Business Management/Strategy, Statistics, Information Systems or other related major preferred
  • Relevant school or work in general Supply Chain, Demand Planning, Sourcing/Procurement, Logistics is a plus
  • Moderate experience with Tableau, Tableau Prep, and SQL preferred
  • Experience with Python, Streamlit, or other programming languages a plus
  • Understanding of VS Code, GitLab, and Codex a plus

Responsibilities

  • Clearly understand dōTERRA’s mission, culture, products and business strategies to support and strengthen dōTERRA’s ability to “Help the World Heal”
  • Develop and distribute reports through Tableau to executives, VPs, directors, and department leaders in Operations department
  • Analyze data and reports to provide decision makers with discoveries and suggestions to improve dōTERRA’s Supply Chain
  • Maintain accurate and up-to-date data in the current business intelligence reports
  • Act as the bridge between I.T. and the end user to ensure that the vision of all parties involved is aligned
  • Facilitate the adoption and effective use of emerging and evolving AI technologies within data analytics
  • Respond to additional needs/requests
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