About the Role
We are seeking a Senior Analytics Engineer to ensure the accuracy, reliability, and scalability of our financial data and reporting across all brands. This role involves standardizing, documenting, and governing financial models globally, collaborating with finance, commercial, engineering, and operations teams to shape data collection and produce best-in-class financial data models. The position requires full end-to-end ownership, including implementation, governance, data quality monitoring, and documentation, crucial for informed decision-making and capital allocation in a rapidly scaling, multi-market environment.
Responsibilities
- Maintain and improve the accuracy and reliability of core orders, revenue & refunds models.
- Configure and manage integrations with financial reporting tools, such as Netsuite.
- Standardize reporting across regions (UK, EU, AU, JP, CA).
- Partner with engineering and operations to manage changes across products and processes, reducing downstream reporting impacts.
- Provide accurate, reliable, and well-documented data for SEC reporting in collaboration with the US Hims & Hers financial team.
- Build automated checks for data reliability and monitor reporting figure drift.
- Maintain a deep understanding of upstream source data to assess change impacts on reporting figures.
- Accurately model product COGs and services costs with revenue data to build payback models for capital allocation decisions.
- Collaborate with finance, commercial, and operations teams to maintain product COGs data.
- Work with marketing teams to accurately track and attribute 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.
Requirements
- 6+ years in an analytics engineering, financial, or commercial analytics role.
- Experience building/maintaining production data models.
- Strong SQL skills, ideally in BigQuery, for data modeling and validation.
- Detail-oriented with the ability 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).
- Strong documentation habits.
- Experience with providing data for public market reporting (Nice to have).
- Experience with financial data, Stripe, Zip, etc. (Nice to have).
- Exposure to ERP tools, e.g., Netsuite (Nice to have).
- Experience with BI tools, e.g., Sigma (Nice to have).
Skills
- SQL
- BigQuery
- dbt
- Financial concepts (Revenue, CAC, Payback, LTV)
- Stripe
- Zip
- Netsuite
- Sigma
Location
- UK
- EU
- AU
- JP
- CA
Work Type
- Full-time
Experience Level
- Senior
About the Company
- Eucalyptus is on a mission to make good health last a lifetime, addressing the global obesity crisis by building better long-term care.
- Eucalyptus is now part of Hims & Hers, a global leader in personalized health and wellness.
- Eucalyptus is the company behind Juniper, a leading weight-management program that combines GLP-1 medication with personalized nutrition, movement support, and clinician-led care.
- Juniper's approach has shown significant patient weight loss, four times more than standard treatment.
- Eucalyptus has achieved 130% YoY revenue growth and a 90% reduction in cash burn.
- Acquired by Hims & Hers in 2026 for $1.15bn, enabling global expansion of long-term care.
- Supported over 350,000 patients across 5 markets.
- Received selective NICE endorsement for NHS services.
- Tailored offerings to patients in Australia, the UK, Germany, Japan, and Canada.
Equal Opportunity
- Eucalyptus values individuals from all backgrounds, experiences, and perspectives, embracing the unique qualities each person brings.
- Applicants are encouraged to disclose any reasonable adjustments needed during the interview process.
- AI-assisted tools are used to enhance team efficiency, including in recruitment, but all hiring decisions are made by people, and every application is reviewed by a recruitment team member.
