About the Role
We are seeking an Analytics Engineer to ensure the accuracy, reliability, and scalability of our financial data and reporting across all brands. This role involves standardizing, documenting, and ensuring the reliability of financial models for internal and external reporting, working collaboratively with finance, commercial, engineering, and operations teams globally. The position requires full end-to-end ownership, including implementation, governance, data quality monitoring, and documentation, crucial for informed decision-making and capital allocation as we scale across multiple markets.
Responsibilities
- Maintain and improve the accuracy and reliability of core orders, revenue & refunds models.
- Configure and manage integrations with financial reporting tools like Netsuite.
- Standardize reporting across regions (UK, EU, AU, JP, CA).
- Partner with engineering and operations to manage changes across products and processes, minimizing 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 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
- 4-6 years in analytics engineering, financial, or commercial analytics.
- 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 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)
- Documentation
- Netsuite
- Stripe
- Zip
- Sigma
Location
- UK
- EU
- AU
- JP
- CA
Work Type
- Full-time
Experience Level
- 4-6 years
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 greater during treatment.
- Eucalyptus has achieved 130% YoY revenue growth and a 90% reduction in cash burn.
- Acquired by Hims & Hers in 2026 for $1.15bn, aiming to take long-term care global.
- Supported over 350k 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.
- Please let us know of any reasonable adjustments you may need during the interview process.
- AI-assisted tools are used across the business to help teams work more efficiently, including in the recruitment process; however, all hiring decisions are made by real people, and every application is reviewed by a member of the recruitment team.
