Senior Analytics Engineer at Canva. About the role

Canva is hiring a Senior Analytics Engineer to join the AI Help Experience group within the User Voice organization.

You will work at the crossroads of data engineering and analytics, turning raw event and product data into clean, well-documented models that help product teams understand internal tool usage and user value.

This position requires growing independence in solving moderately complex data challenges while partnering with Data Scientists, Product Managers, and Engineers.

Key facts

- Location: Sydney, Australia (hybrid, must be based in Sydney)
- Engagement: Full-time
- Team: AI Help Experience group within User Voice (data team of 17 people including Data Scientists and Analytics Engineers)

What you'll do

- Lead efforts to optimize data warehouse performance, focusing on production stability, reliability, incident response, and review processes
- Design and roll out observability, monitoring, and alerting standards across User Voice at scale
- Build warehouse platform and tooling capabilities that incorporate data governance and management principles
- Apply software engineering practices to deliver clean datasets from the warehouse to end users
- Automate and optimize data loading and transformation systems using SQL and Python
- Maintain, operate, and tune data infrastructure including Fivetran, Snowflake, Redshift, dbt, Looker, Mode Analytics, and Census at scale
- Develop scalable data ingestion, access, and modelling frameworks for warehouse usage




- Design analytic data models that answer questions from product teams and User Voice leadership
- Protect user data throughout its lifecycle and ensure it is used with consent to support product experiences

Requirements

- Proven experience writing advanced SQL
- Hands‑on work with modern data transformation tools such as dbt or similar
- Strong grasp of data modelling principles and analytics engineering best practices
- Experience handling large datasets in cloud data warehouse environments
- Ability to translate product questions into structured, scalable data solutions
- Strong communication skills and comfort collaborating with cross‑functional stakeholders
- Growth mindset with motivation to deepen technical expertise

Nice to have

- Interest in experimenting with and deploying AI technologies to solve user problems
- Curiosity about product and user behavior with a drive to uncover valuable insights

Skills & tools

- SQL (advanced)
- Python
- dbt
- Snowflake
- Redshift
- Fivetran
- Looker
- Mode Analytics
- Census
- Data modelling and governance

Practical notes

- Interviews are conducted virtually
- Equity packages included in compensation
- Inclusive parental leave policy for all parents and carers
- Annual Vibe and Thrive allowance for wellbeing, social connection, and office setup
- Adaptable leave options available
- Candidates may share pronouns and request reasonable adjustments during the interview process

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📌 Senior Analytics Engineer (New South Wales)
🏢 Canva
📍 New South Wales