Role Description We’re looking for a Senior Analytics Engineer to help us build reliable, scalable data products for enterprise customers and internal teams. This is a hands-on role with a strong focus on SQL, dbt, data modeling, data-product development, and practical AI integration—not traditional dashboarding alone. - Own work from a stakeholder question through analysis, modeling, quality assurance, and delivery. - Help strengthen how the team works with dbt and contribute to our shift toward scalable data delivery. - Take on direct customer-facing responsibilities, with support from the team as you build that experience. Qualifications - Expert-level SQL and hands-on, production-level dbt experience, including incremental models, testing, configuration, and performance tuning. - A track record of owning reliable data models or products in production, with strong data-modeling skills and experience working with large, complex datasets. - Strong data-warehouse fluency with BigQuery or an equivalent platform, including the ability to diagnose query cost and performance issues. - Experience using Python for data analysis or data-product development, alongside a practical approach to testing, documentation, data quality, governance, and correctness. - Strong stakeholder-management skills and the judgment to explain technical decisions, manage trade-offs, and move ambiguous work forward. - A direct, pragmatic, and collaborative working style, with concrete examples of using AI to improve how you work independently and with a distributed team. - Excellent communication skills in both written and spoken English. Requirements - Experience with client-facing products, external customers, or complex internal stakeholders in a SaaS or consultancy environment. - Familiarity with tools and practices such as BigQuery, Airflow, Looker or other visualization platforms, cloud analytics platforms, and Agile ways of working. - Experience using AI in recurring workflows, agent-based processes, or customer-facing data products. - Knowledge of travel, hospitality, or short-term-rental data, or experience mentoring colleagues and improving analytics-engineering practices. Benefits - Flexible time off: Autonomy to manage your work-life balance. - Alan Flex benefits: 160€/month for food or nursery. - Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery. - Wellbeing support: Subsidized ClassPass subscription. - Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents. - Impactful work: Shape products relied on by 85,000+ users worldwide. - Referral bonuses: Earn rewards for bringing in new talent.

Title: Senior Analytics Engineer - User Voice Location: Melbourne, Australia Employees work in a hybrid mode Full-time Recruitment type: Permanent 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 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 Sydney campus is uniquely Canva - an extension of our Surry Hills neighbourhood. It’s a thoughtfully designed space with plenty of room to collaborate, focus, and connect. This role is based in Sydney, and we’re looking for someone who calls it home. Our hybrid way of working gives you the flexibility to work remotely, and to come together on campus for meaningful in-person collaboration and connection when it matters most. 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, our ability to make fast, confident, data-informed decisions is critical. As a Senior Analytics Engineer in AI Help Experience (AIHX) group within User Voice org, you’ll sit at the intersection of data engineering and analytics. Your focus will be on transforming raw event and product data into clean, scalable, well-documented data models that enable product teams to deeply understand how our internal tools are being used - and where they deliver value to users. You’ll operate with growing independence - solving moderately complex data problems, applying established modelling best practices, and contributing to improvements in User Voice’s reporting ecosystem. You’ll collaborate closely with Data Scientists, Product Managers and Engineers, building strong partnerships while deepening your craft. At the moment, this role is focused on: - Lead & contribute to the optimisation of the data warehouse performance to achieve operational excellence, such as production stability & reliability, incident response and review. - Design and implement observability, monitoring & alerting best practices at scale across User Voice. - Building exceptional and robust warehouse platform & tooling capabilities that incorporate data governance and data management principles and controls - Applying software engineering practices to provide clean data sets from the data warehouse to end users. - Working primarily with SQL and Python to automate and optimize data loading and transformation systems. - Maintaining, operating, and tuning data infrastructure (Fivetran, Snowflake, Redshift, dbt, Looker, Mode Analytics, Census) at scale. - Developing infrastructure, tools and scalable data ingestion, access and modelling frameworks to support Canva's use of the data warehouse. - Designing and build out analytic data models that support answering questions from our product team and User Voice leadership. - Ensuring that our users’ data is protected throughout the data lifecycle and that it’s used with their consent to provide them with an amazing product experience. You're probably a match if - You enjoy bringing structure to complexity and building data others can trust - You have proven experience writing advanced SQL and working with modern data transformation tools (e.g. dbt or similar) - You have a strong understanding of data modelling principles and analytics engineering best practices - You’ve worked with large datasets in cloud data warehouse environments - You can translate product questions into structured, scalable data solutions - You’re a strong communicator who enjoys collaborating with cross-functional stakeholders - You have a growth mindset and are motivated to deepen your technical craft About the team At Canva, we believe that supporting our users is a thrilling and intricate puzzle to solve. Our mission is to ensure that every user feels empowered and heard, especially when we're aiming to scale our user base to an incredible 1 billion users! That's where our User Voice super team comes in, acting as the vital link between our users and Canva's most valuable partners. Our teams work hard to deliver an outstanding customer experience, including streamlined systems, optimised contact flows, and expert support specialists. We also provide tools like our Help Center and Help Assistant Chatbot to enable our users to help themselves. We’re making sure every user can instantly solve their issues or find answers to their questions. AI Help Experience is a Group within User Voice Supergroup. You'll be coming into a diverse data team of 17 people including both Data Scientists and Analytics Engineers, who really do enjoy finding answers to the problems that our users have. We're looking forward to continuing to grow our team and gaining a range of new perspectives and ideas on how we can achieve our goals and help more people. Come and join us if you enjoy: - continuously experimenting with and deploying AI technologies to address user problems effectively - creating innovative and enjoyable experiences that help large numbers of users solve problems and get back to designing as quickly as possible - a positive, supportive culture where team members are keen to lean in, collaborate, and celebrate success together - collaborating closely with peers across disciples including data, ML/AI, product and design to problem solve and iteratively improve experiences We're looking for self-motivated individuals who are curious about our product and our users, and who are excited to seek out valuable insights. We don’t want you to just be a resource that answers questions - we want you to act as a genuine data partner with your team and the broader business. We have a LOT of data and need people who can use their skills to help us make the most of it! 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, too. We also offer a stack of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: - Equity packages - we want our success to be yours too - Inclusive parental leave policy that supports all parents & carers - An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more - Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out lifeatcanva.com for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you!

Role Description We are seeking a mid-level SQL & ETL Developer to support offshore data operations and ensure the reliability of critical data pipelines. This role will focus on monitoring, maintaining, and enhancing ETL processes while collaborating closely with U.S.-based teams. - Monitor and support daily ETL processes to ensure successful and timely execution - Troubleshoot and resolve issues related to ETL workflows, data pipelines, and job failures - Work with SSIS packages and assist in transitioning ETL logic into SQL stored procedures - Develop, maintain, and optimize SQL queries, stored procedures, and data transformations - Collaborate with onshore teams to support data availability aligned with business timelines - Assist in evolving ETL processes toward Python-based solutions (training/upskilling supported) - Support data transformations within the SQL layer for downstream reporting tools - Contribute to data modeling efforts, particularly for reporting and analytics use cases - Follow development best practices and work independently within established standards - Participate in Agile ceremonies including standups, sprint planning, and retrospectives Qualifications - 3-5 years of experience in SQL development and ETL support - Strong SQL skills, including query writing, performance tuning, and stored procedures - Experience with ETL tools, preferably SSIS - Ability to monitor and troubleshoot batch data processes and pipelines - Understanding of data transformation and data modeling concepts - Ability to work independently in a support-oriented environment Requirements - Exposure to Python for data processing (or willingness to learn) - Experience with Tableau, including understanding of data logic and reporting layers - Familiarity with Power BI and data modeling concepts - Experience transitioning ETL logic from tools (e.g., SSIS) into SQL or code-based solutions - Prior experience working in an offshore/onshore support model Work Environment & Schedule - Offshore support role with close collaboration with U.S. teams - Must be available to support ETL processes aligned with U.S. Eastern Time (ET) - Typical collaboration hours begin around: 11:00 AM PST / 2:00 PM EST - Participation in Agile ceremonies (standups, sprint planning, retrospectives) held twice weekly

• Stakeholder Collaboration: Partner with Finance, Operations, and the rest of the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts. • Data Infrastructure: Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making. • Data Integration: Design and document how data should flow between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni. • Data Quality: Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data across source systems, Snowflake, and Omni. • Metric Governance: Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations. • Dashboard Development: Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis. • Continuous Improvement: Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows.