Senior Analytics Engineer, GTM Analytics

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 GTM’s first Analytics Engineer, you will own and define the analytics data architecture that powers Vanta’s go-to-market organization. This is a highly strategic role responsible not just for building data models, but for establishing the foundation, standards, and governance that ensure consistent, trusted metrics across GTM, Finance, and RevOps.

Embedded within the GTM Analytics team, you will lead the design of Vanta’s revenue data model and semantic layer—shaping how core business metrics are defined, calculated, and consumed across the company. You’ll partner closely with business-facing analytics teams to align on definitions and logic, drive adoption of standardized reporting, and influence the evolution of our data platform to support scalable analytics and AI-driven insights.

This role sits at the intersection of data architecture, analytics engineering, and business strategy. Your work will directly impact how Vanta makes revenue decisions by enabling a single source of truth and laying the groundwork for next-generation analytics.

What you’ll do as a Senior Analytics Engineer at Vanta:

• Own GTM Analytics Architecture: Define how core revenue metrics (ARR, NRR, GRR, pipeline, bookings, quota) are modeled, standardized, and surfaced across the organization.

• Act as an Analytics Engineering Thought Leader: Influence how GTM teams define, consume, and trust data by promoting best practices, shaping data culture, and guiding stakeholders toward consistent, scalable approaches.

• Define & Govern the Semantic Layer: Build and maintain a version-controlled semantic layer that serves as the single source of truth for metric definitions.

• Partner with Business-Facing Analytics Teams: Partner with GTM Analytics, Finance, and RevOps to translate business definitions into scalable data models, resolve ambiguity in logic, and ensure consistent metric interpretation across stakeholders.

• Drive Metric Alignment & Governance: Establish and operationalize processes to align on KPI definitions, enforce consistency, and reduce fragmentation in reporting across teams.

• Lead Scalable Data Modeling: Design and implement reusable dbt models and data marts that are accurate, auditable, and fully reconciled with Finance.

• Set Analytics Engineering Standards: Define best practices for dbt development, testing, and documentation to ensure quality and scalability.

• Influence Platform & Analytics Roadmap: Partner with Data Engineering to improve data reliability, performance, and capabilities that support advanced analytics and AI use cases.

How to be successful in this role:

• Experience: 7–10+ years in Analytics Engineering, Data Engineering, or similar roles, with a track record of owning data architecture and driving cross-functional alignment on metrics and reporting

• dbt & Data Modeling Expertise: Deep experience with dbt and dimensional modeling in modern warehouses (Snowflake, BigQuery, Redshift).

• GTM/Revenue Metrics: Strong understanding of revenue metrics (ARR, NRR, GRR, pipeline, ACV, quota) and how they’re used across GTM and Finance.

• SQL Mastery: Advanced SQL skills for building scalable, performant transformations

• Collaboration: Proven ability to work effectively with cross-functional partners, including business analysts, finance teams, data engineers, and business stakeholders. You can translate technical concepts for non-technical audiences and vice versa.

• Data Quality & Governance: Strong data quality mindset - you proactively implement testing, reconciliation processes, and data quality checks to prevent issues before they impact stakeholders.

• Communication: Excellent written and verbal communication skills. You document your work clearly and can explain complex data models to both technical and business audiences.

• Education: Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field preferred.

• Open to using AI to amplify your skills and strengthen your work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

• Bonus: Experience implementing production-grade semantic/metrics layers using tools like dbt Metrics or MetricFlow, including managing metric governance, versioning, and cross-team adoption. Exposure to AI/ML workflows and familiarity with Salesforce data models.

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 fully-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

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