Sr Financial Analyst, GTM Finance

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale.

With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough.

Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. com and follow us on LinkedIn and X. Want to be part of our story?

Apply today! Role Overview As the Senior Financial Analyst on the GTM Finance team, you are the analytical engine behind Couchbase’s top-line financial picture. You contribute to the ARR roll forward model, revenue model, and unit economics that our team relies on to advise the CFO, Executive Team, and our PE sponsor.

Your work is not background support; it is the underlying data that determines whether the company’s growth narrative holds up to scrutiny. This role requires native fluency in SaaS ARR mechanics, including the dynamics of a hybrid subscription and consumption model across product lines. Models you produce must be auditable from source data and accurate enough to defend in front of a PE sponsor.

Key Responsibilities

ARR Modeling Reporting ARR Roll Forward Ownership: Maintain and operate the ARR roll forward model across product lines. Track movement waterfall categories: new logo, expansion, upsell, contraction, and churn, with comparisons to prior year, plan, and forecast. The model must be accurate, auditable, and reconcilable to source data.

Consumption Model Tracking: Maintain accurate tracking of usage-based ARR dynamics, including how consumption revenue affects ARR recognition, NRR calculations, and pipeline conversion. Clearly distinguish committed subscription ARR from consumption-driven ARR in all reporting. Retention Analytics: Model NRR, GRR, cohort expansion patterns, and customer concentration risks.

Surface structural retention risks before they appear in actuals. Uniform renewal assumptions are a red flag; your job is to replace them with account-level data. Bookings Revenue Support: Support the team in maintaining ACV, TCV, and revenue forecasts.

Analyze booking trends across segments and provide data inputs that feed into board and PE sponsor reporting. Revenue Sales Analytics Pipeline Funnel Analysis: Build and maintain pipeline coverage and funnel health models across segments. Quantify coverage ratios, slippage risk, and gap-to-quota.

Identify risks proactively, not after they are raised by Sales leadership. Sales Forecast Support: Provide the data layer that bridges bottom-up field commitments to top-down financial targets. Produce clear, quantified assessments of forecast risk and upside in monthly reporting.

Salesforce CRM Data Integrity: Extract, validate, and structure pipeline data from Salesforce to support recurring and ad hoc reporting. Flag data quality issues that would distort coverage or forecast analytics. GTM Unit Economics SaaS Efficiency Metrics: Continuously track GTM capital efficiency metrics: Sales Productivity, SaaS Magic Number, LTV/CAC, and payback periods.

Produce clean, recurring outputs for use in leadership and board-level reporting.