Analytics Engineer (Wagga Wagga)

Analytics Engineer (Wagga Wagga)

10 Oct
|
Eucalyptus
|
Wagga Wagga

10 Oct

Eucalyptus

Wagga Wagga

About EucalyptusWe're on a mission to make valuable 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 marketsReceived selective NICE endorsement to provide services to the NHSTailored our offering to thousands of patients in Australia, the UK, Germany, Japan and Canada.About the RoleWe'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.
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.What You'll OwnRevenue ModelsMaintain 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.SEC Reporting ModelsWork 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 ModelsAccurately model our product COGs and services costs, with our revenue data to build payback models to help inform capital allocation decisionsWork closely with the finance,



commercial and operations teams to maintain our product COGs dataWork with the marketing teams to accurately track and attribute our marketing spend data (google, facebook, tiktok, etc)Data quality and validationMonitor and validate data accuracy across financial source dataBuild automated checks for missing or duplicated data, schema drift, and anomaliesInvestigate discrepancies between source data and reported figures.Maintain end to end documentation of reporting modelsAbout You4-6 years in an analytics engineering, financial or commercial analyticsExperience building / maintaining production data modelsStrong SQL skills, ideally in BigQuery, for data modelling and validationDetail orientated, able to self-validate assumptions and potential data gapsStrong sense of ownershipFamiliarity with dbt or similar transformation toolsFamiliarity with financial concepts, eg.
Revenue, CAC, Payback, LTVStrong documentation habits — you fix things and write it downNice to haveExperience with providing data for public market reportingExperience with financial data, Stripe, Zip, etcExposure to ERP tools, eg NetsuiteExperience with BI tools, eg 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.

📌 Analytics Engineer (Wagga Wagga)
🏢 Eucalyptus
📍 Wagga Wagga

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