Job Details

Staff Finance Data Analyst

Location

San 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 Economics

  Build and maintain dbt models in Snowflake, transforming raw product telemetry into clear financial views (ARR, margin, unit economics).

  
  

• Forecast & Scenario Analysis

  Use Python-driven Monte Carlo and statistical models to forecast revenue, costs, and gross margin under multiple scenarios.

  
  

• Lead Variance & Root-Cause Analysis

  Dive deep into revenue, COGS, and operating expenses, explaining plan vs. actual variances and identifying key business drivers.

  
  

• Simulate Pricing & Packaging Changes

  Collaborate with Product Monetization to model the impact of new pricing tiers, overage bands, and feature gates.

  
  

• Automate Financial Reporting

  Develop self-serve dashboards (e.g., Hex, Mode, Looker) trusted by Finance, ELT, and Board stakeholders during the month-end close.

  
  

• Enhance Data Quality

  Define and implement data-quality SLAs, ensuring that all revenue and cost metrics are fully auditable.

  
  

• Mentor & Guide

  Provide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling for analysts and engineers.

  
  

What We're Looking For:

• Experience

  7+ years in analytics or data science roles, with a focus on finance (experience with SaaS or usage-based business models preferred).

  
  

• Technical Expertise

  Hands-on experience with dbt (production models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management).

  
  

• Advanced Skills

  Strong proficiency in SQL and Python (pandas, scipy/statsmodels, Prophet) for forecasting, scenario modeling, and statistical analysis.

  
  

• Business Intelligence Tools

  Experience with BI tools such as Looker, Hex, Mode, Tableau.

  
  

• Financial Acumen

  Deep understanding of SaaS/cloud economics including MRR/ARR, COGS allocation, gross margin, LTV/CAC, churn, and cohort retention.

  
  

• Experience in Usage-Based Pricing

  Proven track record in building usage-based pricing models and forecasting frameworks from raw event data.

  
  

• Strong Communicator

  Ability to convey complex data insights to executive audiences and collaborate effectively with engineers.

  
  

• Educational Background

  Bachelor's or Master's in Finance, Economics, Statistics, Data Science, or a related field.