Senior Analytics Engineer

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 looking for an Senior Analytics Engineer to own the accuracy, reliability, and scalability of our financial data and reporting, across all of our brands.

This role sits at the intersection of finance, commercial, data, operations and engineering. You'll make sure that all of our financial models, across all of our markets, are standardised, reliable and well documented, for both internal and external reporting.

You'll work closely with the finance and commercial teams for requirements, and the engineering and operations teams globally to shape the data we collect, to produce best in class financial data models. 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 financial tracking data is directly tied to the quality of decision-making within each markets, and the business’s ability to correctly allocate capital to each market.

• Maintain and improve the accuracy and reliability of our core orders, revenue & refunds models.
• Configure and manage integrations with financial reporting tools, eg. Netsuite.
• Standardise reporting across each region (UK, EU, AU, JP, CA).
• Partner with engineering and operations, to manage changes across products and processes, reducing downstream reporting impacts.

• Work with the US Hims & Hers financial team, to provide accurate, reliable and well documented data for SEC reporting.
• Build automated checks for data reliability, and monitor drift of reporting figures.
• Maintain a deep understanding of upstream source data to understand change impacts to reporting figures.

• Accurately model our product COGs and services costs, with our revenue data to build payback models to help inform capital allocation decisions
• Work closely with the finance, commercial and operations teams to maintain our product COGs data
• Work with the marketing teams to accurately track and attribute our marketing spend data (google, facebook, tiktok, etc)

• Monitor and validate data accuracy across financial source data
• Build automated checks for missing or duplicated data, schema drift, and anomalies
• Investigate discrepancies between source data and reported figures.
• Maintain end to end documentation of reporting models

• 6+ years in an analytics engineering, financial or commercial analytics
• Experience building / maintaining production data models
• Strong SQL skills, ideally in BigQuery, for data modelling and validation
• Detail orientated, able to self-validate assumptions and potential data gaps
• Strong sense of ownership
• Familiarity with dbt or similar transformation tools
• Familiarity with financial concepts, eg. Revenue, CAC, Payback, LTV
• Strong documentation habits — you fix things and write it down

• Experience with providing data for public market reporting
• Experience with financial data, Stripe, Zip, etc
• Exposure to ERP tools, eg Netsuite
• Experience with BI tools, eg Sigma