Financial Analyst

Discord•San Francisco, CA

4d•$116,000 - $130,500•Hybrid

About The Position

Discord is seeking a passionate and motivated Financial Analyst to join their growing Revenue Finance team. Reporting to the Finance Manager for Revenue, the analyst will be responsible for revenue modeling, forecasting, preparing regular reporting and analysis, understanding the drivers of the subscription business, and partnering with cross-functional teams to support strategic initiatives and unlock new growth opportunities. This role involves working with senior leaders across Data Science, Product, Engineering, Partnerships, and Operations to directly impact revenue strategy and decision-making.

Requirements

3+ years in investment banking, top-tier consulting, or high-growth tech FP&A with heavy financial-modeling ownership.
Strong mastery of Excel & modelling techniques.
Experience with consumer-subscription modeling: subscription conversions, cohort-level assumptions, churn curves, and FX forecasting.
Passion for exploring options to automate and optimize workflows to save time and improve accuracy.
Hands-on fluency with AI agents like Claude Code and Codex, and genuine curiosity about applying them to finance work.
The ability to distill complex analysis into crisp recommendations for executives and cross-functional partners.
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties).

Nice To Haves

Experience with SQL, FP&A tools, and Data visualization tools.

Responsibilities

Build and maintain long-range revenue forecasts, incorporating cohort behavior, product impacts, FX trends, and experimentation data.
Analyze key drivers such as ARPU, retention, platform mix, and geo/product performance to surface actionable insights.
Streamline processes and dashboards in Excel, Pigment, and Looker; replace manual workflows with scalable, documented systems.
Use AI agents like Claude Code and Codex to draft models, automate reporting, and turn raw data into first-draft analysis.
Build strong relationships with Product, Partnerships, Engineering, and GTM teams to size opportunities, vet new initiatives, and set targets.
Collaborate with Accounting and Data Science to resolve data discrepancies, reconcile figures across different data sources, and build real-time reporting and forecasting capabilities.
Identify ambiguities in data or process, bring structure, and institutionalize best practices that remain robust over time.
Bring a hunger to learn, pick up new AI tools as they emerge, and grow through hands-on mentorship.