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Vanta

Vanta is the leading trust management platform that helps simplify & centralize security for organizations of all sizes.

Analytics Engineer, GTM Analytics

Analytics EngineerAnalytics EngineerFull TimeRemoteSeniorTeam 201-500Since 2018H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

$127K - $149K / year

Seniority

Senior

Bachelor Degree4 yrs expEnglishAmazon RedshiftBigQueryCloudSQL

Job Description

• Build Revenue Data Marts: Design and implement dbt-based data marts for core GTM metrics (ARR, NRR, GRR, pipeline, quota, bookings), ensuring 100% reconciliation with Finance's source of truth • Establish Semantic Layer: Encode business logic and metric definitions into a governed, version-controlled semantic layer that standardizes how Vanta defines and calculates key metrics • Partner with GTM Analysts: Translate business requirements from analysts who understand stakeholder needs into scalable, well-tested data models that enable self-service insights • Drive Metric Governance: Collaborate with Finance, RevOps, and business leaders to resolve definitional conflicts, establish clear ownership of metrics, and maintain cross-functional alignment on KPIs • Enable AI-Powered Analytics: Create clean, well-documented datasets that can safely power AI assistants, advanced analytics, and automated reporting tools • Influence Platform Roadmap: Work with Data Engineering to shape data platform capabilities, optimize pipeline performance, and ensure data quality through comprehensive testing frameworks • Champion Best Practices: Establish standards for dbt development, documentation, testing, and deployment that scale as Vanta's data needs grow

Job Requirements

  • Experience: At least 4 years in Analytics Engineering, Data Engineering, or equivalent roles focused on transforming and modeling data for analytics. Strong preference for candidates with 2+ years of deep dbt experience architecting projects, not just writing models.
  • dbt Expertise: Advanced proficiency with dbt (dbt Cloud preferred)—you've built or significantly contributed to dbt projects, managed configurations, implemented testing frameworks, and established governance patterns.
  • Data Modeling: Strong dimensional modeling skills (facts, dimensions, star schemas, data marts) and experience designing scalable analytical data architectures in modern cloud warehouses (Snowflake, BigQuery, Redshift).
  • GTM/Revenue Metrics: Solid understanding of go-to-market and financial metrics such as ARR, NRR, GRR, ACV, pipeline coverage, conversion rates, and quota attainment. Ability to translate business definitions into technical models.
  • SQL Mastery: Advanced SQL skills for complex transformations, aggregations, window functions, and performance optimization over large-scale datasets.
  • 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 Mindset: Obsessed with correctness - 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.

Benefits

  • 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!

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