Staff Finance Data Analyst
LocationSan Francisco, CA (US Remote Eligible)
Compensation$180-240k base + equity
Are you ready to drive high-impact decisions at the intersection of finance and data? Join a rapidly growing Series E company at the cutting edge of AI-powered web development, and help shape the future of technology innovation.
We&re looking for a Staff Finance Data Analyst to take charge of financial analytics initiatives, bridging the gap between Finance and Data teams. In this role, you&ll be instrumental in creating trusted financial models, designing impactful forecasts, and delivering strategic insights that will guide key business decisions and fuel our continued growth.
What You&ll Do:
- Model Usage-Based EconomicsBuild and maintain dbt models in Snowflake, transforming raw product telemetry into clear financial views (ARR, margin, unit economics).
- Forecast & Scenario AnalysisUse Python-driven Monte Carlo and statistical models to forecast revenue, costs, and gross margin under multiple scenarios.
- Lead Variance & Root-Cause AnalysisDive deep into revenue, COGS, and operating expenses, explaining plan vs. actual variances and identifying key business drivers.
- Simulate Pricing & Packaging ChangesCollaborate with Product Monetization to model the impact of new pricing tiers, overage bands, and feature gates.
- Automate Financial ReportingDevelop self-serve dashboards (eg, Hex, Mode, Looker) trusted by Finance, ELT, and Board stakeholders during the month-end close.
- Enhance Data QualityDefine and implement data-quality SLAs, ensuring that all revenue and cost metrics are fully auditable.
- Mentor & GuideProvide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling for analysts and engineers.
What We&re Looking For:
- Experience7+ years in analytics or data science roles, with a focus on finance (experience with SaaS or usage-based business models preferred).
- Technical ExpertiseHands-on experience with dbt (production models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management).
- Advanced SkillsStrong proficiency in SQL and Python (pandas, scipy/statsmodels, Prophet) for forecasting, scenario modeling, and statistical analysis.
- Business Intelligence ToolsExperience with BI tools such as Looker, Hex, Mode, Tableau.
- Financial AcumenDeep understanding of SaaS/cloud economics including MRR/ARR, COGS allocation, gross margin, LTV/CAC, churn, and cohort retention.
- Experience in Usage-Based PricingProven track record in building usage-based pricing models and forecasting frameworks from raw event data.
- Strong CommunicatorAbility to convey complex data insights to executive audiences and collaborate effectively with engineers.
- Educational BackgroundBachelor&s or Master&s in Finance, Economics, Statistics, Data Science, or a related field.