Eucalyptus

Digital Healthcare

SeniorFP&AAnalyst

London, United Kingdom Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior FP&A Analyst at Eucalyptus. Skills: financial modeling, forecasting, strategic analysis, Unit Economics, LTV/CAC ratios, payback periods, cohort retention profiles, capital allocation, commercial finance, financial architecture, driver-based financial models, P&L targets, operational data, predictive forecasting, commercial intuition, technical rigor, AI-driven efficiency, automation, LLM-assisted data cleaning, Python scripts, advanced ChatGPT workflows, reporting cycles, data synthesis,”

What You'll Achieve.

support 1 million patients globally to live better for longer; launching into new conditions, demographics, and geographies; becoming the world’s largest international digital healthcare company; deliver work that directly shapes patient outcomes and scales evidence-based care across markets

Industry & Context.

Digital Healthcare
Problems you'll solve

solve complex clinical and operational problems at scale

What They're Looking For.

Must Have

3-6 years of experience in a high-intensity analytical environment, FP&A and commercial finance foundation with experience supporting business performance through financial modeling, forecasting, and strategic analysis

Nice to Have

Backgrounds in Investment Banking, high-growth companies or similar are highly valued, Experience within D2C, B2C, consumer, subscription, or high-growth commercial environments is strongly preferred

What You'll Do.

analyze the marginal return on spend across multi-channel funnels

Maintain and scale complex

driver-based financial models

bridge the gap between high-level P&L targets and granular operational data

Integrate AI and automation to accelerate reporting cycles and predictive forecasting

Deconstruct LTV/CAC ratios

and cohort retention profiles to advise on capital allocation across different geographies

Work closely with the Data team to ensure our "Source of Truth" is robust

moving beyond static sheets into dynamic

Build "stress-test" models to evaluate the impact of supply chain shifts

and new market entry variables

Act as a financial co-pilot for the Marketing and Operations teams

translating their roadmaps into headcount plans and Opex budgets

How You'll Work.

Team & Collaboration

Act as a financial co-pilot for the Marketing and Operations teams; Work closely with the Data team; discuss brand strategy with a GM; discuss SQL joins with a Data Engineer

Communication Scope

The ability to turn a sea of data into a 3-bullet-point executive summary that drives action

Full Job Description

About Eucalyptus We’re on a mission to make good health last a lifetime. More than 1 billion people live with obesity worldwide, driving preventable chronic conditions. We’re here to build better long-term care. Euc is the company behind Juniper, one of the world’s largest weight-management programs combining GLP-1 medication with personalised nutrition, movement support, and clinician-led care from prescribers, nurses, health coaches, pharmacists, and dietitians. Our published clinical research shows that our combined clinical and behavioural approach helps patients lose significantly more weight during their treatment with Juniper by four times. Our Growth Story: 130% YoY revenue growth and a 90% reduction in cash burn, with $100M+ raised from investors including BOND, NewView, Blackbird and Airtree. Supported over 350k patients living with obesity across our 5 markets Received selective NICE endorsement to provide services to the NHS. Tailored our offering to thousand of patients in Germany and Japan About the role We’re looking for a Senior FP 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. Op

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