Senior Supply Chain Data & AI Analyst
About The Position
This is a business-facing supply chain data and analytics role focused on consumer hardware or consumer electronics supply chains, channel operations, supply planning, Databricks, data governance, and metric ownership. The role sits between Supply Planning, business teams, Analytics, and Data Engineering. The analyst will help establish trusted data and consistent metrics across teams. AI work focuses on working alongside AI tools and agents, validating AI-generated outputs, and ensuring data quality and metric accuracy to support business decisions. This is an onsite role in Sunnyvale, California, Monday through Friday, for an initial 12-month duration with extensions. The listed pay rate is $70 per hour, DOE, all-inclusive.
Requirements
- Experience in consumer hardware or consumer electronics supply chain.
- Experience supporting supply chain areas such as sell-in/sell-through, channel inventory, forecasting, allocation, inventory management, weeks of supply, S&OP, or supply planning.
- Hands-on experience with Databricks (DBX), SQL, and Python.
- Experience with medallion architecture (Bronze/Silver/Gold), Unity Catalog, and snapshot tables.
- Experience with data quality validation, data lineage, metric views, and data governance.
- Experience with KPI and metric ownership, metric definitions and documentation, and data certification processes.
- Ability to investigate and reconcile data discrepancies across reports, dashboards, spreadsheets, and source systems.
- Ability to validate AI-generated outputs and assess data quality and metric accuracy.
- Must have a LinkedIn profile with a picture that matches the CV.
- Must be a U.S. citizen or Green Card holder; H-1B visas are not supported.
Nice To Haves
- Experience at a consumer hardware or electronics company such as Apple, HP, Dell, Lenovo, Logitech, Belkin, Western Digital, Sony, LG, or GoPro.
- Experience working between Supply Planning, business teams, Analytics, and Data Engineering.
Responsibilities
- Support consumer hardware or consumer electronics supply chain areas such as sell-in and sell-through, channel inventory, forecasting, allocation, inventory management, weeks of supply, S&OP, and supply planning.
- Work with Databricks, SQL, and Python, including medallion architecture (Bronze/Silver/Gold), Unity Catalog, and snapshot tables.
- Perform data quality validation and support data lineage, metric views, and data governance.
- Own KPI and metric definitions, documentation, and consistency across teams.
- Support data certification processes and conduct root-cause analysis of data discrepancies.
- Reconcile conflicting numbers across reports, dashboards, spreadsheets, and source systems.
- Work effectively alongside AI tools and agents, validate AI-generated outputs, and ensure underlying data quality and metric accuracy.
- Support trusted business decision-making across Supply Planning, business teams, Analytics, and Data Engineering.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
