Revenue Operations Data Analyst

Description

We’re hiring a RevOps Data Analyst to build the analytics backbone for Sales, Marketing, and Customer Success. You’ll own the models, dashboards, and insights that drive pipeline quality, forecast accuracy, and expansion/retention. This is a high-impact role for someone who blends strong SQL/BI skills with GTM acumen and thrives in fast-moving environments.

About the role

• Own GTM analytics & reporting: Design and maintain a single source of truth for ARR, ACV, pipeline coverage, conversion rates, win/loss, churn, NRR/GRR, cohorts, and partner influence.
• Forecast & pipeline health: Partner with Sales leadership to operationalize forecast methodologies (e.g., stage/age hygiene, MEDDIC signal capture, next-step rigor) and publish weekly dashboards.
• Attribution & funnel analytics: Build multi-touch attribution and lead-to-revenue funnels across paid, partner, and sales-led motions; quantify CAC payback and channel ROI.
• Data modeling & quality: Develop scalable data models (e.g., dbt) and tests to ensure freshness, completeness, and accuracy; define SLAs and governance for GTM data.
• Tooling & integrations: Connect and optimize data across platforms such as: Salesforce/HubSpot, Clay, Gong, Outreach, influ2, etc. and the data warehouse; enable reverse-ETL to operational systems.
• Experimentation & insights: Run ad-hoc analyses on pricing/packaging, segments, territories & quotas, comp plans, and customer journeys; translate findings into exec-ready recommendations.
• Security & compliance mindset: Handle data with care and follow best practices aligned with a security company’s standards.

Requirements

• 3–6+ years in RevOps/Revenue Analytics/BI for B2B SaaS (startup to scale-up experience preferred).
• Proficiency with a BI tools and data modeling.
• Hands-on with Salesforce (core objects & reporting) and one or more of: HubSpot, Clay, Gong, Outreach.
• Familiarity with modern data stacks and basic Python for analysis is a plus.
• Strong command of SaaS metrics (ARR/ACV, pipeline math, quota coverage, NRR/GRR, cohorts, payback).
• Ability to translate ambiguous questions into analytical frameworks and communicate insights clearly to executives and frontline teams.
• Bias to action, high ownership, and excellent attention to detail.
• Security industry experience or exposure to non-human identity and third-party integration ecosystems - Advantage  
• Experience with Salesforce CPQ, Zuora/NetSuite, or PLG analytics (Amplitude, Mixpanel) - Advantage  
• Statistical testing/experimentation or propensity/lead-scoring models - Advantage