Senior Analyst, Go-to-Market Analytics

About Antithesis

We’re on a mission to redefine how modern distributed systems are tested and released. Our platform is trusted by engineering teams who demand rock-solid reliability, scalable performance, and deep technical visibility. Our platform doesn’t just assure system correctness and reliability, it exists because developers need something better. If you’ve ever experienced the pain of a production outage, had a bad week on-call, or had a release delayed by weeks because of one killer bug – you’ll understand exactly why we’re doing what we do.

If you're passionate about developer-first products, system resilience, and correctness, we’d love to talk.

The Senior Analyst, Go-to-Market (“GTM”) Analytics is a senior individual contributor role within Revenue Operations. Reporting to the VP of Revenue Operations, this role owns the analytics strategy, data architecture, and executive reporting for the go-to-market organization.

You will define how GTM data is structured, modeled, and consumed across the business, working closely with our central Data Science team to ensure alignment with company-wide data standards and infrastructure. Your scope will include the work of our BDRs, Account Executives, Account Managers, Partner Managers, Customer Success Managers and other GTM roles. You will be the primary owner of GTM data from source systems, including , through executive insights, while maintaining focus on hands‑on analysis.

This role is ideal for someone who thrives in ambiguity, enjoys building from first principles, and wants to shape how a fast-growing enterprise SaaS company runs its go-to-market engine.

This is an 5 days a week in‑office job in Vienna, VA.

• Define and maintain GTM data architecture across Salesforce, operational systems, and BI layers.

• Partner with Data Science to align with company-wide standards.

• Establish clear metric definitions and documentation.

• Balance hands‑on Structured Query Language (SQL)/data modeling with BI‑layer dashboard creation.

• Create and maintain executive dashboards across the customer lifecycle.

• Continuously refine metrics and reporting as the business grows.

• Conduct analyses that drive leadership decisions, including capacity planning, territory design, ramp modelling, forecast variance, and retention/expansion insights.

• Support quarterly business reviews and board reporting.

• Act as a thought partner to BDR, Sales, SE, Alliances, Customer Success, Onboarding, and Support leaders.

• Translate ambiguous business questions into actionable analyses and insights.

• Maintain GTM data quality standards and improve source hygiene.

• Identify gaps in instrumentation and processes that limit insights.

• Document metrics, dashboards, and reporting logic for clarity and scalability.

• GTM leadership and executives rely on your dashboards and insights to run the business.

• GTM data architecture is clear, scalable, and aligned with broader company data strategy.

• Metrics are trusted, understood, and consistently used across teams.

• Strategic decisions around hiring, segmentation, forecasting, and retention are materially improved by your insights.

• Data Science and Rev Ops teams are tightly aligned through effective collaboration and shared ownership.

Experience & Background

• 5–8+ years of experience in GTM analytics, Revenue Operations, Sales Operations, Business Analytics, or a related function within a B2B SaaS environment.

• Proven experience owning analytics and data models across multiple GTM functions (BDR, Sales, CSM, Onboarding).

• Hands‑on experience with Salesforce data models and complex GTM workflows.

• Experience partnering with centralized Data or Data Science teams on shared data architecture.

Technical & Analytical Skills

• Deep understanding of GTM metrics, funnels, and unit economics in an enterprise SaaS business.

• Comfortable with both SOQL (Salesforce Object Query Language) / data modeling and BI‑layer dashboard/report building; able to bridge technical and executive audiences.

• Strong data…