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 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 Flexible work from home options available. Compensation: $130.00 - $140.00 per year