Inventory Analyst
Planet · San Francisco, CA · $34–$43
Posted by Planet on their careers site · View the original posting
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The posting, as Planet wrote it
Welcome to Planet. We believe in using space to help life on Earth.
Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.
As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
About the Role
We are seeking an experienced and analytical Inventory Analyst to drive physical stock accuracy, lead cycle count programs, and optimize inventory workflows across our operations. Operating with minimal guidance, you will apply advanced inventory management principles to evaluate complex variances, refine stockroom procedures, and interpret ERP data. You will serve as a key bridge between supply chain, quality, and engineering, ensuring accurate reporting and seamless material control across raw materials, WIP, and finished goods.
This is a full-time, in-office position based in our San Francisco office 5 days per week.
Impact You'll Own
- Plan, execute, and refine scheduled daily and weekly cycle count programs according to ABC categories. Analyze variance trends to identify root causes and adapt counting strategies
- Lead physical inventory reconciliation for both internal control reviews and external compliance audits. Evaluate conflicting data and establish audit trails in the ERP/WMS system.
- Oversee the end-to-end MRB process. Partner independently with Quality, Engineering, and Purchasing to analyze non-conforming stock, establish root causes, and execute complex dispositions for scrap, rework, or obsolete revision parts.
- Design, organize, and refine bin, shelf, and rack locations to maximize stockroom efficiency, velocity, and 5S compliance.
- Research complex inventory discrepancies, evaluate system transactional histories, and devise solutions where standard guidelines may not fully apply.
- Monitor stock levels across raw materials, WIP, and finished goods to identify anomalies, prevent shortages, minimize overages, and maintain optimum balance.
- Provide technical guidance to adjacent teams, supporting kitting workflows
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ing, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.