Analytics Engineer (New South Wales)

Analytics Engineer (New South Wales)

03 Aug
|
Eucalyptus
|
New South Wales

03 Aug

Eucalyptus

New South Wales

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, and 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 Growth Story
130% YoY revenue growth and a 90% reduction in cash burn, culminating in our $1.15bn acquisition by Hims & Hers in ****, 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
About The Role
We're looking for an
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.
Revenue Models
Maintain and improve the accuracy and reliability of our core orders, revenue & refunds models.
Configure and manage integrations with financial reporting tools, e.g., 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.
SEC Reporting Models
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.
Payback Models
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.).
Data Quality and Validation




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.
About You
4-6 years in analytics engineering, financial or commercial analytics.
Experience building / maintaining production data models.
Strong SQL skills, ideally in BigQuery, for data modelling and validation.
Detail oriented, able to self‐validate assumptions and potential data gaps.
Strong sense of ownership.
Familiarity with dbt or similar transformation tools.
Familiarity with financial concepts, e.g., Revenue, CAC, Payback, LTV.
Robust documentation habits — you fix things and write it down.
Nice to Have
Experience with providing data for public market reporting.
Experience with financial data, Stripe, Zip, etc.
Exposure to ERP tools, e.g., Netsuite.
Experience with BI tools, e.g., Sigma.
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.
#J-*****-Ljbffr

📌 Analytics Engineer (New South Wales)
🏢 Eucalyptus
📍 New South Wales

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