Vanta Logo

Vanta

Senior Analytics Engineer

Reposted One Month Ago
Remote
Hiring Remotely in U.S.
157K-185K Annually
Senior level
Remote
Hiring Remotely in U.S.
157K-185K Annually
Senior level
Lead design and implementation of data models, write optimized SQL at scale, enable semantic layers and AI tooling, manage analytics infrastructure, build frontend data surfaces, and partner with product and engineering to structure source systems for reporting.
The summary above was generated by AI

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.

  • 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.

 
 
 

Similar Jobs

2 Days Ago
In-Office or Remote
CA, USA
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills: Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
3 Days Ago
Remote or Hybrid
CA, USA
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.
Top Skills: Ai Coding AgentsCi/Cd PipelinesDbt Semantic LayerGitGoverned Metrics StoreLlm-Based Classification ToolingLookmlPythonReactSnowflakeSQLTypescript
3 Days Ago
Easy Apply
Remote or Hybrid
USA
Easy Apply
140K-154K Annually
Senior level
140K-154K Annually
Senior level
eCommerce • Edtech • Insurance • Mobile • Real Estate • Software
Build and own end-to-end data products, including pipelines, transformations, semantic models, dashboards, metrics, and AI-enabled workflows. Partner with business and technical stakeholders to turn ambiguous questions into trusted, maintainable solutions. Establish data quality testing, documentation, monitoring, and governance while improving architecture and automation. Use Snowflake, dbt, Power BI, and related technologies to support analytics across Marketing, Product, Finance, and Engineering.
Top Skills: APIsCi/CdDaxDbtGitGitJSONMatillionPower BIPythonSegmentSnowflakeSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account