Revenue Operations Data Analyst

This is a remote role open to candidates based anywhere in the Pacific or Mountain Time Zones - US.
About our ClientOur client helps modern enterprises secure access across the exploding landscape of SaaS, third-party integrations, and non-human identities. Backed by top-tier investors and trusted by security-forward organizations, our client is building a category-defining platform -- and they need data leaders to power their GTM engine.
The RoleOur client is 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.
What You'll DoOwn 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 single 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.
What You'll Bring3 to 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.
Nice to HaveReliable weekly forecast/pipeline dashboards with agreed definitions.Improved pipeline hygiene and forecast accuracy (tracked quarter over quarter).Clear attribution and ROI view that informs budget and campaign decisions.High stakeholder adoption of self-serve BI and documented data dictionary.
Why our ClientBuild the GTM data foundation for category-creating security company with strong product-market fit.Partner closely with seasoned leaders across Sales, Marketing, CS, Finance, and Product.Competitive compensation, equity, and opportunities to grow your scope as they scale.