Data Operations Lead, Global Supply Planning

Verkada; San Mateo (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Healthcare

401k Match

HSA/FSAs

Mental health

Parental leave

Flexible PTO

Lunch provided

Commuter benefits

Job summary

Verkada is seeking a data operations professional to own the foundational data layer and automated pipelines powering planning across global operations. You will build, monitor, and maintain reliable data flows that enable planners, cross-functional teams, and suppliers to execute daily.

This on-site role in San Mateo requires 4+ years in data operations or analytics, strong SQL and cloud warehouse skills, and the ability to translate business needs into precise requirements.

Qualifications

• 4+ years in Data Operations, Supply Chain Analytics, Analytics Engineering, or BI.
• Experience with ERP systems (NetSuite) and warehouse management.
• Strong SQL skills and cloud data warehouses.
• Ability to translate business needs into precise technical requirements.
• Willing to commute to San Mateo, CA, on-site 5 days/week.

Responsibilities

• Own and govern core data layer and pipelines across systems.
• Triage pipeline failures and diagnose root causes with partners.
• Run data refresh cadence and automate quality checks.
• Build dashboards with supply chain leadership to drive insights.

Skills

Data Operations

SQL & Data Warehousing

ERP (NetSuite)

Python / Apps Script

Excel/Sheets modeling

Tools

NetSuite ERP

BigQuery

Snowflake

Google Apps Script

Python

Excel/Google Sheets

Job description

Verkada is seeking a data operations professional to own the foundational data layer and automated pipelines powering planning across global operations. You will build, monitor, and maintain reliable data flows that enable planners, cross-functional teams, and suppliers to execute daily.

This on-site role in San Mateo requires 4+ years in data operations or analytics, strong SQL and cloud warehouse skills, and the ability to translate business needs into precise requirements.