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About Eucalyptus

Eucalyptus is committed to transforming health and wellness by tackling obesity, a condition affecting over one billion people worldwide and leading to preventable chronic diseases. As part of Hims & Hers, Eucalyptus provides Juniper, a comprehensive weight-management program combining GLP-1 medication, personalized nutrition, movement guidance, and clinician-led support including prescribers, nurses, health coaches, pharmacists, and dietitians. Clinical studies demonstrate that this integrated approach results in patients losing significantly more weight, quadrupling treatment outcomes.

130% annual revenue growth and a 90% decrease in cash burn culminating in a $1.15 billion acquisition by Hims & Hers in 2026 enabling global expansion in long-term care.
Supported over 350,000 patients with obesity across Australia, UK, Germany, Japan, and Canada.
Received selective NICE approval to deliver services within the NHS.

Role Overview

We are seeking a Data Analyst / Business Intelligence expert to join the Canadian data team at Eucalyptus / Hims & Hers Canada. This unique role offers end-to-end ownership of analytics for the entire national business unit, providing exposure to multiple departments including growth, product, finance, and operations. The candidate will collaborate closely with the Lead Data Scientist and benefit from interaction with our experienced US analytics team.

Key Responsibilities

Develop and maintain dashboards and reports using tools such as Looker Studio, Google Sheets, and others as required.
Design, support, and interpret A/B tests and experimental data.
Conduct cohort and retention analyses for the Canadian subscription business.
Write and enhance SQL queries to derive insights directly from BigQuery data.
Perform light data engineering tasks in Dataform to maintain healthy data pipelines and models.
Collaborate cross-functionally with stakeholders from Growth, Product, Finance, and Care/Operations to translate business needs into actionable analyses.
Analyze metrics from a strategic business perspective, focusing on the implications and subsequent actions rather than just numerical values.
Work alongside the US analytics team to adopt and adapt best practices to the Canadian business environment.

Required Qualifications & Skills

Minimum 2 years of professional experience in analytics, BI, or a related data role.
Advanced proficiency in SQL is essential.
Proficient in Python for analytics purposes.
Experience in building dashboards and reports using various BI platforms (Looker, Tableau, Power BI, etc.).
Hands-on experience with A/B testing and experimental analytics.
Knowledge of cohort and retention analysis techniques.
Familiarity with SQL-based data engineering tasks such as data modeling and pipeline troubleshooting.
Experience utilizing AI-enabled tools for analytics and coding (e.g., Claude, Claude Code, Cursor, Codex).
Strong communication skills suitable for remote, cross-functional, and cross-border collaboration.
Ability to connect business context with metrics, questioning the reasoning behind data before focusing on technical execution.

Preferred Skills

Background in product, finance, acquisition funnel, retention, or growth analytics.
Experience with subscription business models.
Knowledge of Google Cloud Platform services, specifically BigQuery and Dataform.

Ideal Candidate Traits

Desire to deeply understand all facets of the business beyond isolated metrics or dashboards.
Self-driven, quick learner who thrives in defining their own processes in uncharted territory.
Effective independent communicator in a remote working environment without requiring constant supervision.
Aptitude for collaborating and learning from a well-established US analytics team, with intention to grow the Canadian function.
Willingness to extend beyond typical Data Analyst/BI responsibilities to include adjacent roles like light data engineering and finance-related analytics to meet business demands.

Diversity and Inclusion

Eucalyptus values diversity across all backgrounds, experiences, and perspectives. The company encourages applicants to communicate any accommodations needed during the interview process. All hiring decisions are conducted by human recruiters and candidates may encounter AI-assisted tools designed to streamline business processes, including recruitment.

Data Analyst - Canada