Canva is on a mission to empower teams, classrooms, and businesses worldwide through its platform. The Senior Analytics Engineer will play a crucial role in building scalable data models and ensuring data quality that supports the company's B2B growth initiatives.
Responsibilities:
- You'll design, build, and maintain scalable data models that turn raw data from Salesforce, product telemetry, and billing systems into reliable, business-ready assets our teams actually depend on
- You'll work closely with Data Engineers, Analysts, and Sales Ops to define and standardize the GTM metrics that matter most: leads, pipeline, adoption, retention, expansion, and beyond
- You'll bring analytical rigor to ambiguous problems, improving existing data structures and spotting opportunities to simplify before complexity compounds
- You'll own data quality end-to-end — building in automated testing, documentation, and observability so that trust in our data is never in doubt
- You'll mentor analysts and partner teams on data modeling standards, helping build a culture of self-serve that reduces bottlenecks and scales with the business
- You'll proactively hunt down technical debt, performance drag, and reporting sprawl (and do something about it)
Requirements:
- 4–6+ years in Analytics Engineering, Data Engineering, or Advanced Analytics. You've built things in production and learned from what broke
- Strong SQL and modern data stack experience: Snowflake, dbt, BigQuery, or similar; you know the tools and you know when not to over-engineer
- GTM or revenue data experience: you understand the commercial context behind the models you build (lead scoring, pipeline, bookings, onboarding, activation, retention, expansion)
- Structured problem-solving: you bring a clear head to ambiguous problems and leave systems better than you found them
- Stakeholder communication: you can translate a fuzzy business question into a precise data solution, and explain your choices clearly
- Proactive by default: you improve the system that generates the answers, not just the answers themselves