Data Strategy Associate, Global Revenue Informatics

Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. 

We’ve got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation, more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it.

You can look at all kinds of communities to see our platform’s impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that’s alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We’re rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. 

• Data is the foundation of our go-to-market strategy. It supports all parts of our sales motion, including: 
• Creating customer profiles to identify & target high value buyers
• Identifying & facilitating key growth opportunities, e.g., entering markets in previously untapped geographies 
• Segmenting our sales team and defining sales representative patches 
• Populating and maintaining an accurate universe of buyers 

• →Improve data quality & value: identify opportunities to use data to grow revenue. Find new methods for lead generation. Increase sales prospecting efficiency by improving the accuracy of our data.
• →Design internal products: design and oversee the engineering development of revenue-generating products for our sales team.
• →Source & evaluate vendors: conduct market analyses to compare vendor capabilities to satisfy key business requirements; evaluate vendor quality & present recommendations to the leadership team.

• • 3+ years of professional experience in Data Analytics, Data Engineering, or a highly technical Consulting role.
  • Academic Background: Bachelor’s or Master’s degree in a technical or quantitative discipline (e.g., Computer Science, Engineering, Mathematics, or Economics).
  • Tooling: Expert-level Excel is expected; hands-on experience with dbt or Airflow is a significant plus.

• Advanced SQL proficiency is a must: You should be comfortable writing complex, performant queries to extract insights from messy, large-scale datasets.
• Analytics Stack: Experience with Python for advanced automation and Looker/Tableau for visualization is highly preferred. You should be able to move a project from raw warehouse data to a polished executive dashboard independently.

• High-impact self-starter: You take initiative to move projects forward and operate with high autonomy. You are excited by the challenge of "owning" the data layer of a cross-functional workstream in a fast-paced environment.
• Analytical Rigor: You "nerd out" about data accuracy. You can quickly structure analyses to answer critical business questions and provide the data-driven evidence needed to influence company strategy.

• Stakeholder Management: You bridge the gap between the technical and the non-technical. You can translate a Sales Rep’s "wish list" into technical requirements for Data Engineers and then explain the results back to a business audience.
• Process Documentation: You iterate quickly to find a solution and then have the discipline to document your logic and workflows so they are reproducible and easy for others to understand.

• We do sponsor and take over sponsorship of employment visas for this role. If we make you an offer, we will make every reasonable effort to get you a visa.

As an equal opportunity employer, Verkada is committed to providing employment opportunities to all individuals. All applicants for positions at Verkada will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law.

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