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Senior Supply Chain Solutions Analyst

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Doist
Full Time position
Listed on 2026-08-10
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below

Role:
Senior Supply Chain Solutions Analyst

Location:

Sunnyvale, CA - 3 days in office minimum

Duration: 12 months with possibility of extending further

Role Summary
We're looking for a senior solutions analyst to build internal tools and deliver data-driven analyses that power Meta's supply chain risk intelligence program. Think "forward-deployed engineer", you'll sit embedded with the Strategic Sourcing team, understand their problems firsthand, and build the last-mile applications and analyses they actually use. This isn't a platform or infrastructure role. Your job is to take messy real-world supply chain data - BOMs, supplier records, component lifecycle information - and turn it into clean, validated datasets and working internal tools that help sourcing managers make faster, better decisions.

What

You'll DoData Validation & Analysis
  • Validate and cleanse internal BOM (Bill of Materials) and MPN (Manufacturer Part Number) data across systems
  • Cross-reference supplier data against external sources (Z2

    Data, Digi Key, Silicon Expert) to identify gaps, risks, and inconsistencies
  • Build automated data quality checks and exception workflows
  • Deliver ad-hoc analyses, e.g., "which components in this program have lifecycle risk?" or "where are we single-sourced on long-lead parts?"
Internal Tools & Applications
  • Build and iterate on custom internal tools for supply chain risk monitoring (Python, web-based dashboards, APIs)
Nice to Have
  • Supply chain, procurement, or hardware operations background
  • Familiarity with electronic component data (BOMs, AVLs, MPNs, lifecycle stages)
  • Experience with component databases (Digi Key, Octopart, Z2

    Data, Silicon Expert)
  • Comfort with AI/ML tools - LLMs, classification models, or using AI assistants to accelerate work
  • Web frameworks (Flask, Streamlit, React) for rapid prototyping
  • Meta internal tools (Bento, Presto/Hive, Unidash, Dataswarm) or equivalent at scale
Working Style
  • Embedded with the sourcing team, you understand the business problem before you write code
  • Ship fast, iterate often - working tools in days, polished in weeks
  • High autonomy - own your solutions end-to-end
  • Collaborative - work closely with the XFN team, Supply Chain Transformation data engineers, and sourcing pillar leads
  • Comfortable with ambiguity, half the value is figuring out what to build
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Position Requirements
10+ Years work experience
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