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A leading company specializing in weight management solutions is seeking a Data Analyst to drive strategic insights and optimize data architecture. With a focus on enhancing reporting and empowering data-driven decisions, the role requires over 5 years of experience in analytics. Join a fast-growing team dedicated to impactful healthcare solutions while enjoying a supportive work environment with competitive benefits.
More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.
Eucalyptus is the company behind Juniper , one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.
Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.
Since launching, we’ve grown fast to support millions of patients. In the last 12 months:
In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.
We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.
If that gets you excited, let’s talk!
Drive strategic insights – Take ownership of key analytical projects, translating complex data into actionable insights that directly inform business-critical decisions across multiple teams and functions.
Optimise data architecture – Enhance our data model for the UK and Eucalyptus globally, collaborating with our analytics team in Australia to ensure scalability and consistency that drives decision-making at both local and global levels.
Empower data-driven decisions – Elevate our reporting and dashboard capabilities, establishing a single source of truth for critical metrics and enabling teams with self-service tools to independently access and apply data.
Monitor performance & influence growth – Track and analyse key initiatives, identify trends, and uncover growth opportunities that drive business-wide impact, from acquisition to retention and beyond.
5+ years of data analyst experience – You’ve created and owned end-to-end data products in consumer organisations.
Advanced analytical thinking & tool proficiency – Expert in SQL, Python, and Sheets, with a focus on uncovering drivers of business performance and shaping data-informed strategy.
Applied data science for commercial outcomes – Skilled in using statistical techniques, experimentation, and behavioural data to answer complex business questions and guide commercial decision-making.
Marketing analytics & martech experience – You’ve worked with CRM, campaign, and attribution data across tools like Segment and Customer.io (or similar). You’ve built models or reporting that help marketing teams understand performance, optimise spend, and improve lifecycle outcomes.
Ambiguity & a fast-paced environment excites you – Your curiosity drives you to ask ‘why?’ to get to the next level of understanding; and you can work at speed.
You see more than the data – You have strong business and commercial acumen, and get to the ‘so what’ based on the analysis you do. You help shape the right analysis for the decision at hand.
Attention to detail – You have a high bar for ‘correct’, and work through nuances in the data to surface when an insight can be relied on and when it can’t.
Exceptional communicator – You distil complex analyses into clear, actionable insights that cut through the noise, enabling teams to quickly understand the ‘so what’ and take decisive action.
Make real impact, fast – We build in the open together, which helps us learn and iterate more quickly to deliver high-quality outcomes faster than anyone else. You’ll help improve patients’ lives from the moment you join Euc.
You’ll be supported to accelerate your career – Regular feedback, bi-annual performance reviews, a professional development budget, and dedicated leave help ensure you have what you need to level up. We’re committed to helping every Eucalypt reach their full potential.
You’ll work with others who are incredibly passionate about what they do – Our talent bar is high, and our work ethic is strong. You’ll stretch yourself daily, tackle meaningful problems with autonomy, and work alongside people who care deeply about our patients.
We also offer a range of benefits, including:
Your own stake in the business through our employee options program
A monthly wellness allowance, to spend on whatever wellness means to you
A yearly personal development budget and 3 extra days of leave to keep learning
25 days holiday plus bank holidays, with an enhanced parental leave policy
A fun office with regular socials – including after-school sport, clubs, cycle kick-offs, and seasonal parties (last year’s winter social was in Paris! )
Your own MacBook and more!
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.
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Do you currently have the right to work in the UK? * Select...
Our current working policy is 3 days per week in our London office and 2 days at home. Is this arrangement suitable for you? * Select...
What are your minimum salary expectations for this role? (separate base, bonus, and equity as applicable) *
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What is your earliest possible start date/notice period, and what is the likelihood you would be able to negotiate an earlier start date? *
Do you have at least 5 years experience working in data analytics? * Select...
What interests you about this role, and working at Eucalyptus? *
Can you describe a data product or dashboard you’ve owned end-to-end (e.g. from scoping to implementation and iteration)? *
Can you describe a time when you led an analysis that created significant commercial impact? *
What marketing tools or data sources do you have experience with? What type of analyses or models have you built from these before? *