Senior Supply Chain Data & AI Analyst
About The Position
The Senior Supply Chain Data & AI Analyst 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 analyst works across Supply Planning, business teams, analytics, and data engineering to support trusted business decision-making. The role requires experience with supply chain topics such as sell-in and sell-through, channel inventory, forecasting, allocation, inventory management, weeks of supply, S&OP, and supply planning. Hands-on Databricks work includes SQL, Python, medallion architecture (Bronze/Silver/Gold), Unity Catalog, snapshot tables, data quality validation, data lineage, and metric views. The analyst is expected to establish consistent, trusted data and metrics through KPI ownership, metric definitions and documentation, data governance and certification, and root-cause analysis of discrepancies across reports, dashboards, spreadsheets, and source systems. AI is used in a business application context rather than as an engineering or research focus. The analyst should work effectively alongside AI tools and agents, validate AI-generated outputs, and ensure underlying data quality and metric accuracy. The position is onsite in Sunnyvale, California, Monday through Friday. The stated duration is 12 months with extensions. The posting specifies an all-inclusive pay rate of $70-/hr (DOE) and says submissions are limited to 1099 or C2C at this time.
Requirements
- Experience supporting consumer hardware or consumer electronics supply chains.
- Experience with supply planning, including relevant areas such as sell-in/sell-through, channel inventory, forecasting, allocation, inventory management, weeks of supply, or S&OP.
- Hands-on experience with Databricks (DBX), SQL, and Python.
- Experience with medallion architecture (Bronze/Silver/Gold), Unity Catalog, snapshot tables, data quality validation, data lineage, or metric views.
- Experience with KPI and metric ownership, metric definitions and documentation, data governance, and data certification processes.
- Ability to investigate conflicting numbers and determine the root cause of data discrepancies.
- Ability to validate AI-generated outputs and apply AI tools in a business context.
- Ability to work onsite in Sunnyvale, CA, Monday through Friday.
- Must be available for 1099 or C2C engagement, as the posting specifies these arrangements only at this time.
Nice To Haves
- Experience at consumer hardware or electronics organizations such as Apple, HP, Dell, Lenovo, Logitech, Belkin, Western Digital, Sony, LG, or GoPro.
- Experience with Unity Catalog, metric views, snapshots, and data governance processes.
Responsibilities
- Support consumer hardware or consumer electronics supply chain and channel operations analytics.
- Work across Supply Planning, business teams, analytics, and data engineering.
- Own supply chain KPIs and metrics and define and document metrics.
- Support data governance and data certification processes.
- Perform root-cause analysis of data discrepancies and reconcile conflicting numbers across reports, dashboards, spreadsheets, and source systems.
- Use Databricks, SQL, and Python, including work with medallion architecture, Unity Catalog, snapshot tables, data quality validation, data lineage, and metric views.
- Work alongside AI tools and agents, validate AI-generated outputs, and support trusted business decision-making through accurate data and metrics.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
