Senior Analytics Engineer

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 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.