Bullfinch Recruitment is excited to be partnering with a client to recruit a Finance Business Partner for a rapidly growing global business that is currently expanding its presence across the US market.
Role Overview
As the Finance Business Partner, your primary mission is to ensure that our aggressive pursuit of user growth is grounded in sustainable unit economics. You will analyze the efficiency of our marketing spend while maintaining a hawk-like focus on the company's overall P&L, OpEx, and runway.
---
Core Responsibilities
1. Performance Marketing & Growth Analysis
● Unit Economics: Own the modeling for LTV (Lifetime Value) and CPA (Customer Acquisition Cost) to ensure a healthy ratio.
● ROAS & Payback: Monitor Daily/Weekly ROAS (Return on Ad Spend) and track Payback Windows to ensure marketing spend recuperates within acceptable liquidity timeframes.
● Cohort Analysis: Partner with Data Science to analyze player retention curves and monetization behavior across different cohorts.
2. Financial Planning & Analysis (FP&A)
● Budgeting & Forecasting: Lead the annual budgeting process with our external accountants and monthly rolling forecasts, specifically focusing on variable costs like platform services and user acquisition (UA).
● Burn & Runway: Manage the company’s cash flow, balancing aggressive growth reinvestment with the need for operational profitability. Lead the relationship with the external accountants.
● OpEx Management: Monitor departmental spending (Headcount, Software, R&D) to ensure the 'cost of doing business' doesn't outpace revenue growth.
3. Strategic Decision Support
● Game Economy Health: Evaluate how in-game changes (economy rebalancing, new features) impact overall financial performance and retention.
● Risk Mitigation: Identify trends where LTV is softening or UA costs are spiking, and provide actionable recommendations to the leadership team.
Required Skills & Experience
● 5+ years in Finance, with at least 2 years in Gaming, SaaS, or E-commerce.
● Expert-level proficiency in Excel/Google Sheets; experience with SQL or BI tools (Looker, Tableau) is a massive plus.
● Deep understanding of ARPDAU (Average Revenue Per Daily Active User), Day-N Retention, and Churn.
● Bachelor’s degree in Finance, Economics, Mathematics, or a related quantitative field.