Data Analyst
AirTree Ventures is a network-powered venture capital firm backing Australian and New Zealand founders building iconic technology companies. It invests across stages from seed to growth and supports its portfolio through founder and operator networks, talent, press and customer introductions.
About AirTree Ventures
AirTree Ventures is a network-powered VC that backs Aussie and Kiwi founders, growing and supporting the ANZ startup ecosystem. It has invested in 140+ portfolio companies and 250+ founders, helping create over 19,000 jobs. The firm recently announced its Fund V, a $650m fund comprising a $250M Seed fund and a $400M Growth fund, to back founders from idea stage to becoming global household names. Beyond capital, AirTree runs programs such as Pioneer (for outlier women and gender-diverse people in tech) and Explorer (nurturing diverse angel investors), and publishes 'Open Source VC' content including company-building guides, templates, databases and interviews. Clients/portfolio companies include notable Australian startups such as Canva, Xplor, Kismet and Qwilr, reflecting a focus on early-stage to growth-stage technology founders in Australia and New Zealand.
Skills
About the Role
You'll own analytics for an entire national business unit end-to-end, working directly with the Lead Data Scientist who owns the full Canadian data stack, plus national and international business leaders. You'll get broad exposure across growth, product, finance, and operations while collaborating closely with a more mature US analytics team. You'll build and maintain dashboards and reporting, support experimentation from design through interpretation, own cohort and retention analytics for the subscription business, write SQL directly against BigQuery, and pitch in on light data engineering work in Dataform to keep pipelines and data models healthy. You'll partner cross-functionally with Growth, Product, Finance, and Care/Ops stakeholders to translate business questions into metrics and analyses, and you'll think systematically about why metrics matter, not just what the numbers are.
Requirements
- 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 (Looker, Tableau, Looker Studio, Power BI, etc.)
- Experience with A/B testing / experiment analytics
- Experience with cohort and retention analysis
- Comfort with SQL and basic data engineering skills (understanding data models, light pipeline troubleshooting)
- Experience using AI tools for analytics and coding (Claude, Claude Code, Cursor, Codex, etc.)
- Strong communication skills in a remote, cross-functional, and cross-border environment
- Ability to connect business context to metrics
Responsibilities
- Build and maintain dashboards and reporting across the business using 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 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
- Collaborate with the US analytics team to learn established best practices and bring them into the Canadian business
Benefits
- Equity