Supply Chain Data Intern

True AnomalyLong Beach, CA

About The Position

As a Supply Chain Data Intern at True Anomaly, you will work at the intersection of data and operations to keep our mission hardware moving. You will dig into real supply chain problems, build tools that surface actionable insights, and directly support the teams building the most advanced space systems in the world. We move fast and expect you to as well.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Supply Chain Management, Data Science, Industrial Engineering, Business Analytics, or a related field
  • Proficiency in Microsoft Excel for data analysis and modeling
  • Strong analytical mindset with a bias toward action
  • Sharp attention to detail and the ability to manage multiple workstreams
  • Clear communicator — written and verbal — across technical and non-technical teams
  • Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Nice To Haves

  • Experience with data visualization tools such as Power BI or Tableau
  • Experience with Atlassian tools (JIRA and/or Confluence)
  • Familiarity with SQL or Python/R for data querying and analysis
  • Coursework or applied knowledge in supply chain fundamentals — inventory management, logistics, procurement
  • Exposure to ERP systems (SAP, Oracle, NetSuite) through coursework or prior work
  • Previous internship, research, or project experience in an operations or analytics role
  • Genuine interest in aerospace, defense, or mission-critical hardware supply chains

Responsibilities

  • Collect, clean, and analyze supply chain data from internal systems to track KPIs including inventory levels, supplier lead times, on-time delivery, and fulfillment rates
  • Build and maintain dashboards and reports that give operations and procurement teams the visibility they need to make fast, confident decisions
  • Identify process inefficiencies and develop data-backed recommendations for improvement
  • Collaborate with procurement, supplier development, logistics, and inventory teams to understand data needs and translate them into clear outputs
  • Document workflows, models, and analytical findings for both technical and non-technical audiences

Benefits

  • Compensation $28/hr
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