Data Analyst

What you’ll do

• Work with product managers, designers, engineers, and others to figure out data we should collect, and how we'll do so;
• Ensure that our data is robust and faithfully represents what we intended to measure;
• Synthesizing data available to better understand our users – we want you to be creative and insightful, rather than just throwing the usual metrics at the wall to know what sticks;
• Formulate mathematical and statistical models that can help us understand and improve our overall strategy of improving our product;
• Suggest, set up, and run experiments that will actually move our metrics – when we push tests to 100% we want to actually see the bump in the relevant graph;
• Build and maintain dashboards for our product and operations teams, and make them look really good – you don’t need to be a designer or have any design talent, you just need to want to build things that look cool;
• Apply quantitative methods to real user feedback, so that we can identify and fix the issues that our users are having;
• Help us improve our analytics workflows by identifying better processes and methods;
• Improve Canva’s broader business processes using quantitative methods - help us answer questions like “How large should our support staff be?”, “When should we upgrade our servers”, etc;
• Help organise and write our documentation and manuals, so that our tools and processes are more accessible;
• Mentor and train future analysts as they join the team at Canva;
• Use our mathematical, analytical, and statistical methods with our giant databases to answer the sort of questions that sound really simple but turn out to be very challenging (and fun!); and
• Help us extend data literacy and curiosity throughout the whole company.

About you

• Excellent SQL proficiency, you’ll need to work with our data warehouse regularly
• Functional knowledge of working with data in R or Python/Pandas - you should be able to handle things like time series and forecasting methods
• Ability to communicate effectively sophisticated concepts and quantitative insights concisely, with actionable “so-what” with internal and external customers
• Have intermediate functional knowledge of Google Sheets / Excel
• Able to implement in a complex environment amidst some ambiguity
• Able to prioritize focus of effort and inquiry with an eye to business impact/outcomes
• Able to translate strategic concepts to operational implications
• Bias towards immediate actions and results
• Humility/willingness to question one’s own assumptions/desire to constantly improve
• Accessible, approachable, and collaborative
• Functional knowledge of general programming in Python is a plus, as the role will eventually involve automating processes