Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.
About the Role:
As a Finance Data Analyst, you will be the technical anchor between Finance and Data. You’ll own the financial analytics stack—delivering trusted models, dashboards, and simulations that help leadership understand how usage‑based revenue flows through the business, where margin opportunities exist, and how we forecast growth. You’ll partner daily with FP&A, Product Monetization, Data Engineering, and Executive Leadership to turn complex usage signals into actionable financial insight.
What You Will Do:
- 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.
About You:
- 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.
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.
The San Francisco, CA base pay range for this role is $148,000-$222,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location, and the total package includes benefits and equity-based compensation. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Originally posted on Himalayas
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