Commercial Performance Engine: Partner with brand leads to interrogate daily performance. You won’t just report on CAC; you’ll analyze the marginal return on spend across multi-channel funnels. - Advanced Financial Architecture: Maintain and scale complex, driver-based financial models. You’ll be expected to bridge the gap between high-level P&L targets and granular operational data. - AI-Driven Efficiency: Integrate AI and automation (e.g., LLM-assisted data cleaning, Python scripts, or advanced ChatGPT workflows) to accelerate reporting cycles and predictive forecasting. - Unit Economics Deep-Dives: Deconstruct LTV/CAC ratios, payback periods, and cohort retention profiles to advise on capital allocation across different geographies. - Data Synthesis: Work closely with the Data team to ensure our "Source of Truth" is robust, moving beyond static sheets into dynamic, real-time dashboards. - Scenario & Sensitivity Analysis: Build "stress-test" models to evaluate the impact of supply chain shifts, pricing elasticity, and new market entry variables. - Operational Partnering: Act as a financial co-pilot for the Marketing and Operations teams, translating their roadmaps into headcount plans and Opex budgets. ### What You’ll Bring
3-6 years of experience in a high-intensity analytical environment. Backgrounds in I or similar are highly valued. - with experience supporting business performance through financial modeling, forecasting, and strategic analysis. - Experience within , or is strongly preferred. -
nvestment Banking, high-growth companies
Strong FP&A and commercial finance foundation
D2C, B2C, consumer, subscription
high-growth commercial environments
Strong understanding of commercial and customer metrics including:
CAC (Customer Acquisition Cost)
LTV (Lifetime Value)
Retention and cohort analysis
Revenue performance and unit economics
The "Full-Stack" Analyst: You possess a rare combination of commercial intuition and technical rigor. You can discuss brand strategy with a GM and SQL joins with a Data Engineer in the same hour. - Technical Mastery: Expert-level Excel/Google Sheets is a baseline. Proficiency (or a strong desire to learn) SQL, Python, or data visualization tools (Looker/Tableau) is essential. - AI Native: You are proactive in using AI tools to enhance your productivity, from automating spreadsheet workflows to synthesizing large data sets. - Precision & Speed: You have the "IB-style" attention to detail where every decimal point matters, but the startup speed to ship an 80/20 analysis when the business needs to move fast. - Strong Communication: The ability to turn a sea of data into a 3-bullet-point executive summary that drives action. ### What’s ahead in the UK
Invest in your growth – Annual development budget plus 3 days of professional development leave
Work flexibly – Hybrid setup with 3 days a week in our Old Street office, designed for focus and collaboration
Support your well-being – Private health insurance through Vitality or opt for a monthly wellness allowance to spend on what matters most to you
Take time off – 25 days of holiday, enhanced parental leave and work from anywhere 3 weeks out of the year
Join a connected team – A vibrant office culture with regular socials, clubs, after-school sport, and seasonal events
At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.
At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process. We use AI-assisted tools across our business to help our teams work more efficiently, including within our recruitment process. These tools support our team — all hiring decisions are made by real people, and every application is reviewed by a member of our recruitment team.
