Job description

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 eight 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. What you can expect as a Vanta’n: - Industry-competitive salary and equity - Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans - 16 weeks paid Parental Leave for all new parents - Health & wellness stipend - Remote workspace, internet, and cellphone stipend - Commuter benefits for team members who report to the SF and NYC office - Family planning benefits - Matching 401(k) contribution with immediate vesting - Flexible PTO policy, plus 80 hours of Sick Time - 11 company-paid holidays - Virtual team building activities, lunch and learns, and other company-wide events! - Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remote At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply. About Vanta We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent. Referral Instructions If you are being referred for the role, please contact that person to apply on your behalf.

Requirements

Must-haves

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.
Have at least eight 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.
Industry-competitive salary and equity
Remote workspace, internet, and cellphone stipend
Family planning benefits
Flexible PTO policy, plus 80 hours of Sick Time
11 company-paid holidays
Virtual team building activities, lunch and learns, and other company-wide events!
Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlai

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave

Wellness