Senior Analytics Engineer

Vanta is a Trust Management Platform company that helps businesses continuously monitor, improve, and prove their security and compliance. The Senior Analytics Engineer will build foundational analytics capabilities by designing data models, developing scalable warehouse queries, enabling AI-powered analytics tooling, and improving data infrastructure and reporting systems across the enterprise.

Responsibilities:

• 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

Requirements:

• 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 being obsessed with giving data super powers across the company
• Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing
• Must be authorized to work in the U.S. without the need for current or future employer sponsorship
• Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact