Data Analyst, Canada
eucalyptus • Toronto, Ontario, Canada
Posted: July 10, 2026
Job Description
About the Role
Eucalyptus / Hims & Hers Canada is looking for a Data Analyst / BI professional to join our small but high-impact Canadian data function. This is a rare opportunity to own analytics for an entire national business unit end-to-end — not a narrow slice of it. You'll work directly with the Lead Data Scientist who owns the full Canadian data stack, as well as the national and international business leaders. You'll get exposure across growth, product, finance, and operations, while collaborating closely with our more mature US analytics team.
This role is built for someone who wants 360-degree ownership early in their career: someone who's excited to understand how an entire business works end-to-end through data, not just execute isolated report requests.
Why this role over a narrower DA/BI job elsewhere: at most companies, a 2-3 year analyst owns one slice of the business and works within an established playbook. Here, you'll own analytics for an entire national business unit and work directly alongside the person building that playbook — with a public company's equity, direct access to a mature US/international analytics team, and exposure to problems (experimentation, retention modeling, light data engineering, finance-adjacent analysis) that typically don't land on someone's desk until several years later in their career. If you're optimizing for how fast you'll grow and how much you'll actually own, not just the number on the offer letter, this role is built for you.
What You'll Do
- Build and maintain dashboards and reporting across the business (Looker Studio, Google Sheets, and other tools as needed)
- Support A/B testing and experimentation — from test design through results interpretation
- Own cohort and retention analytics for the Canadian subscription business
- Write and optimize SQL to answer business questions directly from BigQuery
- Support light data engineering work in Dataform as needed to keep pipelines and data models healthy
- Partner cross-functionally with Growth, Product, Finance, and Care/Ops stakeholders to translate business questions into metrics and analyses
- Think systematically about metrics from a business point of view — not just "what's the number" but "why does this number matter and what should we do about it"
- Collaborate with the US analytics team to learn established best practices and bring them into the Canadian business
What We're Looking For
Required:
- 2 years of full-time experience in analytics, BI, or a related data role
- Strong SQL skills (must-have)
- Working proficiency in Python (must-have)
- Experience building dashboards and reports (tool-agnostic — Looker, Tableau, Looker Studio, Power BI, etc. all count)
- Experience with A/B testing / experiment analytics
- Experience with cohort and retention analysis
- Comfort with the SQL and basic data engineering skills needed to support DA/BI work (e.g., understanding data models, light pipeline troubleshooting)
- Experience in using AI tools for analytics and coding (i.e. Claude, Claude Code, Cursor, Codex, etc.)
- Strong communication skills, especially in a remote, cross-functional, and cross-border environment
- Ability to connect business context to metrics — you ask "why" before you ask "how"
Nice to Have:
- Experience in product, finance, acquisition/funnel, retention, or growth analytics
- Experience with subscription-based business models
- GCP experience (BigQuery, Dataform, or similar)
Who Will Thrive in This Role
- You want to understand an entire business inside and out, not just own one dashboard or one metric
- You're proactive and a fast learner — comfortable defining your own path when there's no existing playbook
- You communicate clearly and independently in a remote setting, without needing constant hand-holding
- You're excited to work with and learn from a more mature US team, and to bring that knowledge back to a growing Canadian function
- You're willing to stretch beyond traditional DA/BI scope into adjacent areas like data engineering and finance-adjacent modeling as the business needs it
Additional Content
About the Role
Eucalyptus / Hims & Hers Canada is looking for a Data Analyst / BI professional to join our small but high-impact Canadian data function. This is a rare opportunity to own analytics for an entire national business unit end-to-end — not a narrow slice of it. You'll work directly with the Lead Data Scientist who owns the full Canadian data stack, as well as the national and international business leaders. You'll get exposure across growth, product, finance, and operations, while collaborating closely with our more mature US analytics team.
This role is built for someone who wants 360-degree ownership early in their career: someone who's excited to understand how an entire business works end-to-end through data, not just execute isolated report requests.
Why this role over a narrower DA/BI job elsewhere: at most companies, a 2-3 year analyst owns one slice of the business and works within an established playbook. Here, you'll own analytics for an entire national business unit and work directly alongside the person building that playbook — with a public company's equity, direct access to a mature US/international analytics team, and exposure to problems (experimentation, retention modeling, light data engineering, finance-adjacent analysis) that typically don't land on someone's desk until several years later in their career. If you're optimizing for how fast you'll grow and how much you'll actually own, not just the number on the offer letter, this role is built for you.
What You'll Do
- Build and maintain dashboards and reporting across the business (Looker Studio, Google Sheets, and other tools as needed)
- Support A/B testing and experimentation — from test design through results interpretation
- Own cohort and retention analytics for the Canadian subscription business
- Write and optimize SQL to answer business questions directly from BigQuery
- Support light data engineering work in Dataform as needed to keep pipelines and data models healthy
- Partner cross-functionally with Growth, Product, Finance, and Care/Ops stakeholders to translate business questions into metrics and analyses
- Think systematically about metrics from a business point of view — not just "what's the number" but "why does this number matter and what should we do about it"
- Collaborate with the US analytics team to learn established best practices and bring them into the Canadian business
What We're Looking For
Required:
- 2 years of full-time experience in analytics, BI, or a related data role
- Strong SQL skills (must-have)
- Working proficiency in Python (must-have)
- Experience building dashboards and reports (tool-agnostic — Looker, Tableau, Looker Studio, Power BI, etc. all count)
- Experience with A/B testing / experiment analytics
- Experience with cohort and retention analysis
- Comfort with the SQL and basic data engineering skills needed to support DA/BI work (e.g., understanding data models, light pipeline troubleshooting)
- Experience in using AI tools for analytics and coding (i.e. Claude, Claude Code, Cursor, Codex, etc.)
- Strong communication skills, especially in a remote, cross-functional, and cross-border environment
- Ability to connect business context to metrics — you ask "why" before you ask "how"
Nice to Have:
- Experience in product, finance, acquisition/funnel, retention, or growth analytics
- Experience with subscription-based business models
- GCP experience (BigQuery, Dataform, or similar)
Who Will Thrive in This Role
- You want to understand an entire business inside and out, not just own one dashboard or one metric
- You're proactive and a fast learner — comfortable defining your own path when there's no existing playbook
- You communicate clearly and independently in a remote setting, without needing constant hand-holding
- You're excited to work with and learn from a more mature US team, and to bring that knowledge back to a growing Canadian function
- You're willing to stretch beyond traditional DA/BI scope into adjacent areas like data engineering and finance-adjacent modeling as the business needs it