Join Vanta as a Senior Analytics Engineer to build a best-in-class analytics function and empower data-driven decision-making.
Posted by employer 1 month ago
First seen on Joblaze 2 months ago
Last verified on the company career page 9 hours ago
Skills & Technologies
AI in the day-to-day
Open to using AI to amplify their skills and strengthen their work.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Analytics Engineer at Vanta, the individual will focus on developing robust data models and analytics frameworks that support both business needs and future growth. Proficiency in SQL and familiarity with tools like dbt, Snowflake, and Looker are essential for managing complex data infrastructures. This position is ideal for someone with a strong background in data engineering and analytics, particularly those who thrive in a collaborative environment and are eager to leverage AI in their work. Vanta's commitment to security and trust management underscores the importance of this role in driving data-driven decision-making across the organization.
Joblaze insights
Quick facts
From the original posting
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.
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
Health & wellness stipend
Remote workspace, internet, and cellphone stipend
Family planning benefits
Matching 401(k) contribution with immediate vesting
11 company-paid holidays
#LI-remote
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