Data Trust Associate, Global Revenue Informatics

Qualification

Bachelor’s or Master’s degree in a technical or quantitative field (e.g., Computer Science, Engineering, Mathematics, or Economics). Technical Mastery: Advanced SQL: Expertise in writing complex, performant queries on large, messy datasets. Analytics Stack: Experience using Python for automation and Looker/Tableau for data visualization; expert-level Excel skills. Data Pipeline Tooling: Hands-on experience with dbt or Apache Airflow is a significant plus. Strategic Problem Solving: Strong autonomy as a self-starter who thrives in fast-paced environments, with a high degree of analytical rigor and passion for data accuracy. Communication & Collaboration: Proven ability to manage cross-functional stakeholders, translate complex data findings into actionable strategy, and partner closely with engineering and sales teams. US Employee Benefits Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to: Healthcare programs that can be tailored to meet the personal health and