Financial Analyst
Build and maintain long-range revenue forecasts, analyze subscription metrics, and partner with Product, Engineering, and GTM teams to drive revenue strategy at Discord.
What you'll be doing
- Forecast the future. Build and maintain long-range revenue forecasts, incorporating cohort behavior, product impacts, FX trends, and experimentation data.
- Analyze key drivers. Dive into ARPU, retention, platform mix, and geo/product performance to surface actionable insights.
- Automate & optimize. Streamline processes and dashboards in Excel, Pigment, and Looker; replace manual workflows with scalable, documented systems.
- Build with AI. Use AI agents like Claude Code and Codex to draft models, automate reporting, and turn raw data into first-draft analysis, then bring the judgment to know when the output is right.
- Partner for growth. Build strong relationships with Product, Partnerships, Engineering, and GTM teams to size opportunities, vet new initiatives, and set targets.
- Uplevel Data Pipelines & Processes. Collaborate with Accounting and Data Science to resolve data discrepancies, reconcile figures across different data sources, and build real-time reporting and forecasting capabilities.
- Build Robust Processes. Identify ambiguities in data or process, bring structure, and institutionalize best practices that remain robust over time.
- Grow the craft. Bring a hunger to learn, pick up new AI tools as they emerge, and grow through hands-on mentorship as you raise the bar for the team.
What you should have
- 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 SQL, FP&A tools, and Data visualization tools also encouraged.
- 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.
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