Data Analyst

Summary

Join Vercel as a Finance Data Analyst and become the technical bridge between Finance and Data. You will be responsible for the financial analytics stack, creating models, dashboards, and simulations to help leadership understand usage-based revenue, margin opportunities, and growth forecasts. Collaborate with various teams, including FP&A, Product Monetization, Data Engineering, and Executive Leadership, to transform complex usage data into actionable financial insights. Your work will involve modeling usage-based economics, forecasting revenue and costs, conducting variance analyses, simulating pricing changes, automating financial reporting, and elevating data quality. You will also mentor analysts and engineers. This role requires strong analytical and technical skills, experience with various tools and technologies, and excellent communication abilities.

Requirements

• 7+ years in analytics or data science roles focused on Finance (SaaS or usage-based preferred)
• Deep hands-on expertise with dbt (production-grade models, testing, CI/CD) and Snowflake (performance tuning, RBAC, cost management)
• Advanced SQL + Python (pandas, scipy/statsmodels, or Prophet) for forecasting, scenario modeling, and statistical analysis
• Strong grasp of SaaS / cloud unit economics—MRR/ARR, COGS allocation, gross margin, payback, LTV/CAC, cohort retention
• Demonstrated success building usage-based pricing and forecasting frameworks from raw event data
• Comfortable communicating insight to executive audiences and drilling into data with engineers
• Experience with BI / notebook tooling (Looker, Hex, Mode, Tableau, or similar) and data transformation tools like dbt
• Bachelor’s or Master’s in Finance, Economics, Statistics, Data Science, or a related field

Responsibilities

• Model usage-based economics – Build and maintain dbt models in Snowflake that translate raw product telemetry into ARR, margin, and unit-economics views
• Forecast revenue & costs – Design Python-driven Monte Carlo and statistical models to project usage, revenue, and gross margin under multiple scenarios
• Run variance & root-cause analyses – Explain plan-vs-actual deltas across revenue, COGS, and operating expense lines; surface the drivers that matter
• Simulate pricing & packaging changes – Partner with Product Monetization to quantify impact of new tiers, overage bands, and feature gates
• Automate financial reporting – Deliver self-serve dashboards (e.g., Hex, Mode, Looker) that Finance, ELT, and Board stakeholders trust every month-end close
• Elevate data quality – Define testing, reconciliation, and data-quality SLAs so Finance can audit every revenue and cost metric back to source
• Mentor analysts & engineers – Provide best-practice guidance on dbt design patterns, Snowflake optimization, and Python analytical tooling

Benefits

• Competitive compensation package, including equity
• Inclusive Healthcare Package
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills
• Flexible Time Off
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed