Canva
Data Scientist
To empower everyone in the world to design anything and publish anywhere
Data and Analytics
Full-time
Office | Sydney, NSW, Australia
Visa sponsorship · No
Junior · A role for someone with some basic skills, good motivation and ability to learn. Typically 1-2 years of experience is required.
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Why Canva
Launched in 2013, Canva is an online design and visual communication platform with a mission to empower everyone in the world to design anything and publish anywhere.
About the role
Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney. We also have a campus in Melbourne and co-working spaces in Brisbane, Perth and Adelaide. But you have choice in where and how you work. That means if you want to do your thing in the office (if you're near one), at home or a bit of both, it's up to you. What you’d be doing in this role As Canva scales change continues to be part of our DNA. But we like to think that's all part of the fun. So this will give you the flavour of the type of things you'll be working on when you start, but this will likely evolve. At the moment, this role is focused on Your primary goal will be working with your stakeholders to understand what our customers need and want, run A/B experiments and provide recommendations to influence the business roadmap using data. You will do this by:
- **Metrics Development **: Collaborate with security and business stakeholders to define and implement OKRs and KPIs that measure the effectiveness of initiatives and align with business objectives.
- **Insight Generation **: Translate technical findings into clear business-centric narratives, answering the "so what?" questions to drive strategic decision-making.
- **Reporting and Communication **: Develop compelling reports, dashboards, and presentations that effectively communicate insights to both technical and non-technical audiences.
- **Cross-Team Collaboration: **Work closely with software engineers, designers and product managers to proactively identify areas where data-driven insights can improve our product and drive growth.
You're probably a match if
- You have proven record of influencing the business with data, and ideally in SaaS product growth.
- You have a strong base in the fundamental technical skills of data science – hypothesis-driven problem solving, using SQL & Python to wrangle data, numerical thinking, forecasting goal metrics, A/B test interpretation and storytelling with data
- You have the skills that tend to make data scientists successful – attention to accuracy, interpreting data faithfully, speaking persuasively in public, and writing concisely and clearly.
- You are comfortable dealing with ambiguous problems and experimenting with different approaches
- You are comfortable in a fast-paced, matrixed organization, with multiple stakeholders
- You may have a grounding in mathematics/statistics and a bachelor's degree in a STEM area.
- You may have worked in a tech company before and are familiar with the operations of a tech company and some of the concepts particular to our industry.
What you'll be responsible for
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Insights Presentation
Organize and present data to effectively communicate findings
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Data Governance
Contribute to the design, development, and deployment of data governance solutions
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Data Analysis and Reporting
Analyze data to discover and communicate insights, and offer concrete recommendations for key stakeholders to make critical decisions
Skills you'll need
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Learning agility
Identifies and applies strategies to enhance reception, retention and use of newly acquired information, skills, and abilities
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Numerical problem solving
Works with numerical information and performs mathematical calculations to solve problems
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Attention to detail
Accurately identifies and rectifies discrepancies or errors that exists in information and deliverables