At a Glance
- Tasks: Lead analytics strategy and empower teams with actionable insights across UK and EU.
- Company: Join Eucalyptus, part of Hims & Hers, revolutionising health and wellness.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment focused on innovation and collaboration.
- Why this job: Shape the future of health analytics and make a real impact on patient care.
- Qualifications: 7-8+ years in analytics, strong SQL skills, and team management experience.
The predicted salary is between 40500 - 49500 £ per year.
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. Eucalyptus is now part of Hims & Hers, the global leader in personalised health and wellness. 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:
Supporting patients living with obesity across our 5 markets. Received selective NICE endorsement to provide services to the NHS. Tailored our offering to thousands of patients in Australia, the UK, Germany, Japan and Canada.
About the Role
We’re looking for a Senior Analytics Manager to take ownership of our UK & EU analytics strategy and reporting ecosystem - ensuring that the insights driving our commercial, product, and operational decisions are accurate, timely, and deeply actionable. You’ll be hands-on with SQL, Python, dbt, and modern BI platforms, building data models, designing self-serve analytics, and translating complex data into strategic business recommendations. This is a technical leadership role managing three direct reports to start, offering the opportunity to shape how insights empower teams across our international operations. You will be accountable for Analytics operating as a proactive decision partner, setting priorities, developing the team, and ensuring analytical capacity is directed toward the highest-value business decisions.
What You’ll Do
- Own the UK & EU analytics strategy - Set the analytical agenda, priorities and operating model, ensuring the team focuses on the decisions and opportunities with the greatest business impact.
- Partner with senior leadership - Act as a trusted analytical partner to UK and European leaders, proactively identifying risks, opportunities and questions where data can materially improve an outcome.
- Create clarity around business performance - Establish a consistent view across acquisition, conversion, retention and revenue, moving quickly from what changed, to why it changed, to what the business should do next.
- Lead and develop a high-performing team - Manage and coach a team of analysts, creating clear ownership, developing independent problem-solvers, and setting a high bar for analytical rigour, communication and commercial impact.
- Drive prioritisation and accountability - Balance competing stakeholder demands, make explicit trade-offs, and distinguish genuine capacity constraints from work that should be simplified, automated, self-served or stopped.
- Build scalable, trusted analytics - Drive common metric definitions, decision-focused dashboards, semantic models and self-service capabilities so teams can answer more questions independently and analytical impact can scale without linear headcount growth.
- Support European growth - Ensure new products, brands and markets launch with clear success metrics, leading indicators, diagnostic views and measurement plans, while reusing common approaches rather than rebuilding analytics market by market.
- Partner across the global data organisation - Work closely with Analytics, Data Engineering, Data Platform and other Hims & Hers data leaders to align definitions, standards and reusable capabilities, avoiding local duplication where global solutions already exist.
- Increase leverage through AI - Use AI and modern analytics tooling to accelerate analysis, improve self-service and shift analyst time toward judgement, diagnosis and higher‑value decision support.
About You
- Experience - 7-8+ years of experience in data analytics, BI, or product analytics roles, including at least 2 years of direct team management experience. You have operated as the accountable analytics partner for a business area, market or senior leadership group.
- Strong analytical foundations - You are technically credible, with advanced SQL and sufficient statistical and analytical depth to challenge senior analytical work, unpack the methodology and identify when a conclusion is not supported by the evidence.
- Commercial and product judgement - You can turn broad business questions into structured analytical frameworks and connect findings to business economics, customer behaviour and consequential decisions.
- Executive stakeholder influence - You have a track record of building trust with senior leaders, constructively challenging requests and assumptions, and influencing decisions rather than simply supplying analysis.
- People leadership - You have developed strong analysts, set clear expectations, raised performance standards and handled difficult performance or prioritisation decisions when required.
- Excellent prioritisation - You create clarity in ambiguous, fast‑moving environments and are comfortable saying no, not yet, or there is a better way when demand exceeds capacity.
- Builder mindset - You improve the system around the team through common definitions, reusable analysis, self‑service, tooling and clear ownership rather than solving every problem with another dashboard or additional headcount.
- Modern analytics experience - You are comfortable with modern warehouses, transformation tooling and BI platforms such as BigQuery, dbt and Sigma/Looker or equivalents. You understand semantic modelling and data quality well enough to partner effectively with engineering teams, but this is an Analytics leadership role rather than a Data Engineering role.
- Forward-looking approach - You understand how AI and automation are changing Analytics and have a pragmatic view of where they can materially increase team and stakeholder leverage.
What Success Looks Like
UK and European leadership see Analytics as part of how they run the business, not a service they call after a question appears. Your team understands the decisions its stakeholders are making, catches important changes early, explains their drivers clearly and influences what happens next. At the same time, you are building an analytics model that scales across markets through common definitions, trusted data, effective self‑service and strong integration with the wider Hims & Hers data organisation.
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.
Senior Manager, Analytics employer: Eucalyptus
Eucalyptus is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration are at the forefront. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to lead a talented team in a vibrant UK & EU market. Our commitment to meaningful work ensures that your contributions directly impact our international strategy and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Analytics
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We think you need these skills to ace Senior Manager, Analytics
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Eucalyptus, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Eucalyptus
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Eucalyptus!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
