Senior Supply Chain Data Ai Analyst

Location: Sunnyvale, CA (Onsite M-F Required)
Duration: 12 Months + Extensions
Pay Rate: $70-/hr (DOE), all-inclusive

• Consumer Hardware / Consumer Electronics Supply Chain
• Channel Operations
• Supply Planning
• Databricks (DBX)
• Data Governance & Metric Ownership
• Business-Facing Analytics

The ideal candidate sits between Supply Planning, Business Teams, Analytics, and Data Engineering.

Consumer Hardware / Consumer Electronics Supply Chain

• Sell-in / Sell-through
• Channel Inventory
• Forecasting
• Allocation
• Inventory Management
• Weeks of Supply
• S&OP
• Supply Planning

• Apple
• HP
• Dell
• Lenovo
• Logitech
• Belkin
• Western Digital
• Sony
• LG
• GoPro
• Similar consumer hardware/electronics companies

Candidates should be hands-on with:

• Databricks (DBX)
• SQL
• Python
• Medallion Architecture (Bronze / Silver / Gold)
• Unity Catalog
• Snapshot Tables
• Data Quality Validation
• Data Lineage
• Metric Views

A key part of this role is creating trusted data and metric consistency across teams.

Strong candidates should have experience with:

• KPI and metric ownership
• Metric definitions and documentation
• Data governance
• Data certification processes
• Root cause analysis of data discrepancies
• Reconciling conflicting numbers across reports, dashboards, spreadsheets, and source systems

We're not seeking AI Engineers or Machine Learning Researchers.

The focus is on candidates who can:

• Work effectively alongside AI tools and agents
• Validate AI-generated outputs
• Ensure underlying data quality and metric accuracy
• Support trusted business decision-making

• Data Engineers with limited supply chain knowledge
• Supply Planners with little Databricks experience
• Reporting/dashboard-focused analysts
• Candidates lacking consumer hardware/electronics experience
• Candidates unable to explain metric ownership, data governance, or planning KPIs
• Generic AI experience without business application

1. What consumer electronics or hardware products have you supported?
2. What supply planning, inventory, forecasting, or channel metrics did you own?
3. Describe your hands-on Databricks experience.
4. Have you worked with Gold/Silver/Bronze layers, Unity Catalog, metric views, snapshots, or data governance processes?
5. Tell us about a time you investigated conflicting numbers and determined the root cause.

1. First and Last name as it appears on your passport:
2. REQUIRED: Anything we should know about you for presentation (this is your sales pitch):
3. Reason you are looking for a change (detailed explanation):
4. Comm skills (1-10):
5. US Work Status:
6. Resume in MS Word:
7. Education and pertinent certs - degree, year, university:
8. Availability to start (onsite M-F):
9. Hourly rate, all-inclusive (1099 or C2C only at this time):
10. Email and phone number:
11. LinkedIn Profile (must have Professional headshot - no banner):
12. Current location (city & state):
13. TEAMS/video interview availability (PST timings):
14. Two Professional MANAGER references with:
    • Full name:
    • Phone number:
    • Professional email:
    • Project name:
    • Reporting relationship / work performed together: