Senior Supply Chain Solutions Analyst

Role: Senior Supply Chain Solutions Analyst

Location: Sunnyvale, CA (Hybrid, 3 days a week)

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 Do

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)

·        Integrate external market intelligence platforms into internal workflows

·        Develop AI-assisted features - risk scoring, lifecycle classification, early warning signals

·        Create self-service analytics and visualizations for non-technical sourcing leads

Solution Design

·        Translate supply chain business problems into technical solutions

·        Prototype fast - get a working tool in front of users within days, not months

·        Work with existing data infrastructure (pipelines, tables, etc) rather than building from scratch

·        Identify opportunities to automate manual processes with AI/LLM tools

Required Skills

·        5+ years in a technical analyst, solutions engineer, or applied data science role

·        Strong Python - scripting, data manipulation (pandas), API integrations, light web development

·        Proficient in SQL — can query large datasets, write complex joins, work with partitioned tables

·        Experience connecting to and working with external APIs and data sources

·        Ability to build working internal tools quickly - web apps, dashboards, notebooks, scripts

·        Comfortable working with messy, real-world data - reconciling across sources, handling edge cases

·        Strong communication — can present findings to non-technical stakeholders clearly

Nice to Have

·        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