Supply Chain Data, Automation Analyst
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Job Description
Supply Chain Data & Automation Analyst responsible for data management workflows at Serve Robotics. Focus on automating data flows and improving supply chain efficiency.
Responsibilities:
- Leverage AI tools and frameworks to build faster, create scalable API connections, and manage the data architecture that keeps our supply chain running.
- Design, build, and maintain automated pipelines to retrieve and route data across various internal and external databases and tools.
- Perform hands-on data analysis (e.g., tracking average shipping times, inventory flows) and build automated spreadsheets or dashboards for stakeholders.
- Develop and manage API-based workflows to ensure seamless communication between our core business platforms and external logistics partners.
- Implement error handling, alerting, etc. to ensure data workflows run consistently and accurately.
Requirements:
- 3-10 years of hands-on experience in data analysis, data engineering, workflow automation, or similar technical roles.
- Strong general knowledge of data structuring, data management, and automating spreadsheet workflows.
- Proficiency in Python, JavaScript, and SQL.
- Proficiency in modern AI-driven development including AI coding tools (e.g., Claude Code, GitHub Copilot, Codex), Model Context Protocol (MCP), configuration of Skills, sub-agents, etc. and familiarity with popular AI orchestration frameworks such as Langgraph, OpenAI API/SDK, Gemini API/SDK, etc.
- Google Cloud Platform (GCP): Specifically Cloud Run, BigQuery, and other supporting services.
- Google Workspace / G Suite: Specifically Google Sheets and Google Apps Script.
- NetSuite: Specifically working with the NetSuite API.
- Supply Chain Tech Experience: Applying these data and technology skills specifically within supply chain, logistics, or e-commerce operations.
Benefits:
- N/A
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