Senior Commercial Strategy Analyst

About the role

Join the Commercial FP&A team at Eucalyptus as a Senior Commercial Strategy Analyst. This position offers a unique opportunity to combine strategic commercial analysis with technical data execution, supporting the company's growth initiatives. You will be responsible for transforming complex unit economics into actionable insights, developing and maintaining financial models, and working closely with cross-functional teams to optimize business performance. The role is ideal for someone with a strong analytical background who enjoys working at the intersection of finance, data, and strategy, and who is eager to AI and automation tools to enhance reporting and forecasting processes. This position provides a chance to be part of a dynamic, fast-paced environment where your insights directly influence business decisions and growth strategies.

Key facts

What you'll do

• Analyze daily commercial performance data in collaboration with brand leads, focusing on understanding the marginal return on advertising and marketing spend across multiple channels. This involves dissecting performance metrics to identify what drives growth and profitability in different regions and segments.
• Maintain and enhance advanced, driver-based financial models that connect high-level profit and loss (P&L) targets with granular operational data. These models will serve as key tools for forecasting, scenario analysis, and strategic planning.
• Implement AI and automation solutions, such as large language model (LLM)-assisted data cleaning, Python scripting, or ChatGPT workflows, to streamline reporting, data processing, and forecasting activities. This will help speed up routine tasks and enable more sophisticated analyses.
• Conduct deep dives into unit economics, including analyzing customer lifetime value (LTV), customer acquisition cost (CAC), payback periods, and cohort retention. Use these insights to guide capital allocation decisions across different regions and channels, ensuring optimal resource deployment.
• Collaborate with the Data team to ensure data integrity and transition static reports into dynamic, real-time dashboards. This involves working on data pipelines, validation processes, and visualization tools to provide stakeholders with accurate and timely insights.
• Develop stress-test models to evaluate how changes in supply chain dynamics, pricing strategies, or market entry scenarios could impact business performance. These models help the company prepare for various operational and strategic challenges.
• Partner with Marketing and Operations teams to translate their strategic roadmaps into detailed headcount plans and operational expenditure (Opex) budgets. This involves aligning financial forecasts with business initiatives and ensuring resource planning supports growth objectives.
• Support strategic planning by providing data-driven insights, financial analysis, and modeling support to senior leadership. This includes preparing presentations, executive summaries, and recommendations based on quantitative analysis.
• Use technical tools and AI to automate routine data tasks, synthesize large datasets, and generate actionable insights quickly. This proactive approach to automation enhances productivity and allows the team to focus on high-value analysis.
• Communicate complex financial and operational insights clearly and concisely to non-financial stakeholders and executive leadership. This involves translating technical findings into understandable narratives that inform decision-making.
• Support ongoing process improvements in financial planning, reporting, and data management to ensure the team remains efficient and effective as the business scales.

Requirements

• 3-6 years of experience working in a highly analytical environment, such as investment banking, high-growth startups, or fast-paced corporate settings. Experience supporting business performance through financial modeling, forecasting, and strategic analysis is essential.
• Strong foundation in FP&A and commercial finance, with a proven track record of developing and maintaining financial models that inform strategic decisions.
• Experience working in D2C, B2C, consumer, subscription, or other high-growth commercial environments is preferred. Familiarity with the nuances of these sectors will be advantageous.
• Deep understanding of key commercial and customer metrics, including CAC, LTV, retention, cohort analysis, and revenue performance. Ability to interpret these metrics to guide business strategy.
• Ability to combine commercial insight with technical rigor, including discussing brand strategy and understanding SQL joins or data extraction techniques.
• Expert-level proficiency in Excel and Google Sheets, capable of building complex models, automations, and data analyses.
• Strong desire or existing proficiency in learning SQL, Python, or data visualization tools such as Looker or Tableau. Willingness to develop technical skills to support data-driven decision-making.
• Experience or interest in leveraging AI tools to automate data tasks, synthesize large datasets, and generate insights efficiently.
• attention to detail, ensuring accuracy and reliability in all analyses and reports.
• Ability to deliver quick, effective analyses under tight deadlines while maintaining high quality.
• Excellent communication skills, with the ability to distill complex data into clear, actionable insights for non-technical stakeholders and senior leadership.

Nice to have

• Prior experience working in fast-paced, high-growth environments or startups, especially in the consumer or health sectors.
• Familiarity with automation and AI tools in a business context, including their application to financial and operational analysis.
• Knowledge of supply chain management, pricing strategies, or market entry analysis to support strategic initiatives.
• Experience working in cross-functional teams, collaborating with marketing, operations, and data teams to achieve common goals.
• Exposure to financial modeling supporting strategic decision-making in a scaling business environment.

Skills & tools

• Financial modeling and forecasting techniques
• Data analysis and visualization skills
• SQL and Python (desirable)
• AI and automation tools for data processing and analysis
• Excel and Google Sheets expertise
• Data visualization platforms such as Looker or Tableau (desirable)

Practical notes

• The company offers an annual development budget plus 3 days of dedicated professional development leave to support ongoing learning.
• The role is based in London with a hybrid work setup, requiring 3 days a week in the Old Street office.
• Employees benefit from private health insurance through Vitality or a monthly wellness allowance to support health and wellbeing.
• The company provides 25 days of holiday, with additional benefits such as enhanced parental leave. Employees have the option to work from anywhere for up to 3 weeks per year, supporting work-life balance.
• Eucalyptus fosters a office culture with regular social events, clubs, after-school sports, and seasonal celebrations to promote team bonding and employee engagement.
• The company supports over 1 million patients globally across five markets, demonstrating its significant impact in healthcare.
• Eucalyptus has received NICE endorsement for NHS services, highlighting its credibility and quality standards.
• The company is part of Hims & Hers, integrating into a larger health and wellness ecosystem.