Workplace
remote
Employment
Full-Time
Published
Aug 12, 2026
Closes
No date supplied
The role
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future. What you’ll do as an Senior Analytics Engineer at Vanta: - Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams. - Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses. - Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices. - Manage and improve data infrastructure needed to drive data-driven decision-making solutions. - Help develop front end applications to expose analytical data sets enterprise wide - Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise. How to be successful in this role: - Have at least four years of experience working with data and two years of experience in Software Engineering or a related field. - Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). - Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries. - Deep knowledge of crafting dimensional and fact models in modern data fashion. - Have a passion for enabling the developer experience of data, and bein
Requirements
Department: Product Analytics; Team: Product Analytics