Senior Supply Chain Solutions Analyst

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.

Data 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 (Z2Data, DigiKey, SiliconExpert) 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)

Supply chain, procurement, or hardware operations background

Familiarity with electronic component data (BOMs, AVLs, MPNs, lifecycle stages)

Experience with component databases (DigiKey, Octopart, Z2Data, SiliconExpert)

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

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