Analytics Engineer - London - UK

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.

• 130% YoY revenue growth and a 90% reduction in cash burn - culminating in our $1.15bn acquisition by Hims & Hers in 2026, giving us the platform to take long-term care global
• 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 thousands of patients in Australia, the UK, Germany, Japan and Canada.

We’re making good health last a lifetime

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.

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

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!

We're looking for an Analytics Engineer to own the accuracy, reliability, and scalability of our marketing data and tracking ecosystem — initially in the UK, and increasingly across our global markets.

This role sits at the intersection of marketing, data, and engineering. You'll make sure that every customer interaction we care about is correctly captured, enriched, and flowing into the right platforms — from Segment pipelines into BigQuery, through to the ad platforms and CRM tools that drive acquisition and retention.

You'll work closely with the UK & EU marketing analytics teams, the central data engineering team, and cross-functional partners across growth, CRM, and product. The expectation is full end-to-end ownership: implementation, governance, data quality monitoring, and documentation. We're scaling across multiple markets, and the rigour of our tracking infrastructure is directly tied to the quality of marketing decision-making and the speed at which we can move into new geographies.

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• Implement and maintain tracking across web and app surfaces using Google Tag Manager and Segment
• Configure and manage integrations with key ad platforms — Meta, Google Ads, TikTok, and others
• Debug tracking issues using browser dev tools, network requests, and tag inspection tooling
• Partner with engineering on server-side tracking and event ingestion

• Own marketing-relevant event schemas within Segment — naming conventions, parameter structures, destination mappings
• Ensure clean, reliable pipelines into downstream tools: BigQuery, ad platforms, CRM
• Work with the central data team to align on event standards and governance frameworks as we expand into new markets
• Support the codification of Segment configuration to make international market launches faster and more repeatable

• Monitor and validate data accuracy across marketing pixels and event streams
• Build automated checks for missing or duplicated events, schema drift, and anomalies
• Investigate discrepancies across platforms — Meta, internal warehouse, GA, and others
• Maintain documentation of tracking plans and expected behaviours

• Implement enhanced conversions, hashed PII, and server-side conversion APIs to improve signal quality into bidding algorithms
• Work closely with marketing teams to ensure optimal data flowing into performance marketing tools
• Support attribution, incrementality, and MMM work with high-quality input data

• Ensure tracking fires correctly based on user consent — GDPR and ePrivacy
• Work with consent management tools to maintain compliant tracking configurations
• Audit tracking setups for compliance risks, particularly as we expand into new jurisdictions

• Build dashboards and alerts to monitor tracking health and data quality
• Give marketing stakeholders reliable, trusted reporting on the data underpinning their decisions

• 3–5 years in an analytics engineering, marketing data, or tracking implementation role
• Strong hands-on experience with Google Tag Manager — web and server-side
• Experience with Segment or a comparable CDP — schema management, destination configuration, event governance
• Solid SQL, ideally in BigQuery, for validating and interrogating tracking data
• Comfortable with browser dev tools, network debugging, and the mechanics of how tags and pixels fire
• Understanding of marketing pixels across Meta, Google Ads, TikTok, and equivalent platforms
• Familiarity with event-driven data models and the distinction between client-side and server-side tracking
• Familiarity with dbt or similar transformation tools
• Strong documentation habits — you fix things and write it down

   

• Experience with consent management platforms (OneTrust, Cookiebot, or equivalent)
• Exposure to attribution modelling, MMM, or incrementality frameworks
• Experience working in a regulated industry or across multiple jurisdictions