Data Analyst, Finance

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Data & Analytics, Software/TechnologyIndustries

Requirements

Candidates should possess 7+ years in analytics or data science roles with a focus on Finance, preferably with SaaS or usage-based experience, and demonstrate deep hands-on expertise with dbt (production-grade models, testing, and CI/CD) and Snowflake (performance tuning, RBAC, and cost management). Advanced SQL and Python skills, including pandas, scipy/statsmodels, or Prophet, are required, along with a strong understanding of SaaS/cloud unit economics—MRR/ARR, COGS allocation, gross margin, payback, LTV/CAC, and cohort retention. Furthermore, candidates must have demonstrated success in building usage-based pricing and forecasting frameworks from raw event data, and be comfortable communicating insights to executive audiences and collaborating with engineers on data details. A Bachelor's or Master's degree in Finance, Economics, Statistics, Data Science, or a related field is also required.

Responsibilities

The Finance Data Analyst will build and maintain dbt models in Snowflake to translate raw product telemetry into ARR, margin, and unit-economics views, forecast revenue and costs using Python-driven Monte Carlo and statistical models, run variance and root-cause analyses to explain plan-vs-actual variances, simulate pricing and packaging changes in partnership with Product Monetization, automate financial reporting by delivering self-serve dashboards, elevate data quality by defining testing, reconciliation, and data-quality SLAs, and mentor analysts and engineers on dbt design patterns, Snowflake optimization, and Python analytical tooling.

Skills

SQL

dbt

Snowflake

Python

Monte Carlo simulation

Data modeling

Financial analysis

Data visualization

Data quality assurance

Dashboard tools (Hex, Mode, Looker)

Vercel

Platform for building and deploying web applications

About Vercel

Vercel provides a platform for developers and businesses to build, deploy, and manage modern web applications. Its services include tools that enhance image and video workflows using AI features like smart cropping and object detection. Vercel simplifies the complexities of serverless architecture, allowing for global content delivery without extra infrastructure. The company ensures high security and uptime with features such as automatic HTTPS and DDoS protection. Unlike competitors, Vercel focuses on a managed global rendering layer and offers a subscription-based model tailored to various client needs, from individual developers to large enterprises. The goal of Vercel is to empower developers to create efficient and secure web applications.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$547.6MTotal Funding

SERIES_ECompany Stage

Consumer Software, Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Health Insurance

Stock Options

Company Equity

Professional Development Budget

Unlimited Paid Time Off

Remote Work Options

Home Office Stipend

Risks

Increased competition in the cloud application platform space threatens Vercel's market share.

Rapid AI evolution may outpace Vercel's current offerings, risking competitive edge loss.

Reliance on a subscription model could be risky during economic downturns.

Differentiation

Vercel offers a managed global rendering layer for modern web applications.

The company provides advanced AI-powered tools for image and video optimization.

Vercel's platform supports full lifecycle media management with auto-tagging and access control.

Upsides

Vercel secured $250 million in Series E funding for growth and platform development.

The introduction of V0 enhances Vercel's offerings in AI-driven web development.

Recognition as a Visionary in Gartner's Magic Quadrant boosts Vercel's market position.

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