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Analytics Engineer - Marketing

Job Description

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 time-consuming, so let’s get straight to the point.

Where and how you can work

Our flagship campus is in Sydney, with additional spaces in Melbourne, Brisbane, Perth, and Adelaide. You have the flexibility to work from the office, home, or a mix of both—it’s your choice. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals.

What you’d be doing in this role

As Canva scales, change is part of our DNA. While your role will evolve over time, here’s a flavour of what you’ll be working on when you start:

  • Building Marketing Data Pipelines: Develop, maintain, and improve data pipelines to ensure marketing data is available, accurate, and optimised for insights.
  • Develop Privacy-Centric Pipelines: Design, build, and maintain scalable data pipelines that integrate privacy-first principles.
  • Enhancing Marketing Data Models: Build and refine marketing-related data models in the data warehouse, ensuring scalability and compliance with platform standards.
  • Streamlining Processes: Create automation solutions to simplify reporting and analytics processes, freeing up time for high-value work.
  • Collaborating Across Teams: Work closely with marketers, product managers, data scientists, and engineers to align on projects and deliverables.

You're probably a match if…

  • You have proven experience as an Analytics Engineer, Data Engineer, or in a similar role.
  • You’re proficient in SQL and have experience working with modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • You have experience building data pipelines and working with ETL/ELT or reverse ETL tools like dbt, Airflow, Census or similar.
  • You have worked with programming languages such as Python to create data integrations with API endpoints.
  • You understand the needs of marketing teams and are comfortable translating their requirements into data solutions (desirable).
  • You know how to work with internal legal teams to align on data governance, consent and privacy standards across our marketing data stack.
  • You thrive on collaboration and can communicate effectively with both technical and non-technical stakeholders.
  • You’re detail-oriented, ensuring data accuracy and reliability in all deliverables.

About the team

The Marketing Data team is part of the broader Marketing Analytics group at Canva. We work closely with marketing teams to unlock the power of data, supporting campaigns, measuring impact, and driving actionable insights. Our team is a mix of engineers and analysts, all working together to ensure Canva’s marketing efforts are data-driven and impactful.

What's in it for you?

Achieving our crazy big goals motivates us to work hard—and we do—but you’ll experience lots of moments of magic, connectivity, and fun woven throughout life at Canva. Here’s a taste of what’s on offer:

  • Equity packages: We want our success to be yours too.
  • Inclusive parental leave policy: Supporting all parents and carers.
  • Annual Vibe & Thrive allowance: Supporting your wellbeing, social connection, office setup, and more.
  • Flexible leave options: Empowering you to recharge and take time for what matters most.

Other stuff to know

We value unique experiences and skills. If you don’t meet every requirement but feel passionate about this role, we’d still love to hear from you.

We make hiring decisions based on your experience, skills, and passion, as well as how you can enhance Canva and its culture. Let us know your pronouns and any reasonable adjustments you may need during the interview process.

Let’s make an impact together!

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What You Should Know About Analytics Engineer - Marketing, Canva

Are you ready to make a splash in the world of marketing data? As an Analytics Engineer at Canva, based in the vibrant city of Sydney, Australia, you will be at the forefront of a mission to redefine design experiences. We get it—job hunting can be a bit overwhelming, so let’s dive straight in! In your role, you'll build and maintain robust marketing data pipelines that ensure our data is not just available, but also accurate and optimized for insightful analysis. Your ability to create privacy-centric pipelines will be critical as we prioritize our users' privacy. Collaboration is key here at Canva, and you'll work closely with marketers, product managers, and data scientists, brainstorming exciting projects that drive our marketing impact. With a strong background in SQL, experience with modern data warehouses like Snowflake or BigQuery, and a knack for creating data integrations using Python, you'll be perfectly equipped to make an impact. We're looking for individuals who value teamwork, are detail-oriented, and can bridge the gap between technical and non-technical teams. Plus, we offer flexible working arrangements, equity packages, and a supportive environment for parents and caregivers. So if you're passionate about data and eager to contribute to a culture of creativity and innovation, join us in making an impact at Canva!

Frequently Asked Questions (FAQs) for Analytics Engineer - Marketing Role at Canva
What are the responsibilities of an Analytics Engineer at Canva?

As an Analytics Engineer at Canva, you'll be responsible for developing and maintaining marketing data pipelines, ensuring data accuracy and optimizing insights from our marketing efforts. You'll also work on building privacy-centric pipelines, enhancing marketing data models, and streamlining analytics processes while collaborating with various teams to translate marketing needs into effective data solutions.

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What qualifications do I need to apply for the Analytics Engineer position at Canva?

To apply for the Analytics Engineer position at Canva, you should have proven experience in a similar role, proficiency in SQL, and experience with modern data warehouses like Snowflake, BigQuery, or Redshift. Familiarity with data pipeline tools such as dbt or Airflow, as well as programming skills in Python, will be valuable assets for this role.

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How does Canva ensure data privacy in marketing practices?

At Canva, as an Analytics Engineer, you will design and build scalable data pipelines that adhere to privacy-first principles, ensuring compliance with legal standards. Collaborating with internal legal teams will be part of your responsibilities to align on data governance, consent, and privacy standards across the marketing data stack.

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What types of projects will I work on as an Analytics Engineer at Canva?

You will engage in exciting projects like building marketing data pipelines, enhancing data models, and streamlining reporting processes. Your role will evolve, but at its core, you'll help unlock insights from data that support Canva's marketing strategies and campaigns.

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What is the work culture like for Analytics Engineers at Canva?

The work culture at Canva is collaborative, innovative, and inclusive. Our team comprises engineers and analysts who work closely together to unlock the power of data, ensuring our marketing efforts are both impactful and data-driven. You'll enjoy flexible work arrangements and a supportive team environment.

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Can you explain the importance of automation in the Analytics Engineer role at Canva?

Automation plays a key role in the Analytics Engineer position at Canva by streamlining reporting and analytics processes. This allows you and your team to focus on high-value tasks, ultimately enhancing efficiency and ensuring that insights are delivered promptly to drive marketing decisions.

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What makes a successful Analytics Engineer in marketing at Canva?

A successful Analytics Engineer at Canva balances technical skills with a deep understanding of marketing needs. Being detail-oriented, proficient in data tools, and a strong communicator will enable you to effectively collaborate with cross-functional teams, ensuring data solutions align with marketing goals.

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Common Interview Questions for Analytics Engineer - Marketing
What is your experience with building data pipelines?

When answering this question, focus on specific projects where you developed data pipelines. Discuss the tools you used, the challenges faced, and how the experience contributed to your growth as an Analytics Engineer.

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Can you explain how you use SQL in your current role?

Detail how you use SQL for querying databases, extracting insights, and reporting. Providing examples of complex queries or data manipulations showcases your expertise in this crucial area for the Analytics Engineer role.

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How do you prioritize tasks when managing multiple projects?

In your response, outline your organization strategies, such as using project management tools or setting priorities based on urgency and impact. Highlight your ability to communicate with stakeholders to align on project goals.

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What strategies do you employ for ensuring data accuracy?

Speak about your testing methods, data validation techniques, and the importance of collaborating with teams to cross-check data integrity. Providing concrete examples will strengthen your answer.

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Describe a challenging problem you faced while working with data and how you solved it.

Use the STAR (Situation, Task, Action, Result) method to provide a structured response. Highlight your analytical skills and resourcefulness in overcoming data-related challenges.

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How do you approach cross-team collaboration?

Emphasize your communication skills, willingness to listen, and the importance of understanding different perspectives. Provide examples of successful collaborations that led to positive outcomes.

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What tools do you typically use for data integration?

Discuss the specific ETL/ELT tools you have experience with, such as Airflow or dbt. Explain how these tools have helped you enhance data workflows and integration processes in your previous roles.

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How do you stay updated on trends and changes in data privacy regulations?

Mention any resources you rely on, such as industry blogs, webinars, or professional networks. Demonstrating your proactive approach to staying informed shows your commitment to data governance.

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Can you walk us through your process for enhancing marketing data models?

Outline your systematic approach, starting from assessing the current models, identifying areas of improvement, and describing how you incorporate feedback from marketing teams to refine these models.

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Why do you want to work at Canva as an Analytics Engineer?

Express your passion for data, marketing, and the creative environment at Canva. Highlight what specifically draws you to their mission, culture, and the potential impact you can make in the role.

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Canva is revolutionizing the design process around the world. The company provides a user-friendly online platform that enables anyone to produce stunning, professional designs - granting them easy access to the realm of visual communication.

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CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Passion for Exploration
Dare to be Different
Empathetic
Growth & Learning
BENEFITS & PERKS
Paid Holidays
Medical Insurance
Equity
401K Matching
Learning & Development
Social Gatherings
Flex-Friendly
Maternity Leave
Paternity Leave
Sabbatical
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 29, 2024

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