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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 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. What You'll Own Revenue Models 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. 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 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 Nice to have 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 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.
