• Build and scale data pipelines for product events, usage data, and customer datasets • Develop analytics infrastructure using technologies like Kafka, ClickHouse, and PostgreSQL • Own data models, KPI definitions, and metric layers powering dashboards and product features • Build reliable ingestion processes for both structured and messy customer-provided datasets • Ensure privacy-first data practices through anonymisation, pseudonymisation, and tenant-level controls • Collaborate with engineering and product teams to make data accessible, trusted, and actionable

Role Description As the Lead Analytics Engineer (Looker), reporting into the Analytics Manager, you will be the primary architect of our data’s "source of truth." You will lead a team of high-performing Analytics Engineers dedicated to transforming raw data into actionable insights through a sophisticated Looker semantic layer. This is a hybrid role requiring both technical mastery and strategic leadership. You will act as the bridge between Data Engineering (infrastructure), Data Analysts, and our Corporate, Marketing, CS, Sales, and GTM Ops Teams (consumers), ensuring our data models are scalable, automated, and governed by rigorous CI/CD practices. Your mission is to eliminate manual toil and empower the organisation with true self-service capabilities. - People Leadership & Development: - Mentorship & Coaching: Lead the AE team, drive a high-performance culture, and support individual career growth. - Performance Management: Drive regular 1-on-1s, give constructive feedback, and handle performance reviews. - Resource Planning: Manage team capacity and sprint priorities, balancing tech debt with stakeholder needs. - Talent Growth: Help with recruitment and make sure new joiners have a smooth onboarding. - Semantic Architecture & Governance: - Own the Layer: Lead the design, development, and maintenance of centralised Looker semantic models (LookML). - Guardianship: Act as the "Gatekeeper" for Looker, enforcing coding standards, modularity, and performance optimisation. - CI/CD Implementation: Establish and manage robust version control and deployment pipelines in GitLab for the semantic layer. - Cross-Functional Collaboration: - Upstream Influence: Partner with Data Engineering to define table structures and schemas that optimize for downstream analytical performance. - Downstream Empowerment: Translate the business needs of Corporate, Marketing, CS, Sales, and GTM Ops Analysts into scalable data models. - Automation & Efficiency: - Scale the Team: Identify manual workflows and automate them using Python scripts, API integrations (Looker API), or Agentic AI. - Operational Excellence: Modernise the team’s workflow by co-creating and enforcing a disciplined Jira ticketing structure to ensure transparency and velocity. Qualifications - Looker Mastery: Expert-level knowledge of Semantic Layer, LookML, Liquid, and Looker administration. Experience with Looker API is a huge plus. Prior experience with migrating from another tool to Looker is highly advantageous. - The Modern Data Stack: Proficiency in SQL (advanced window functions, optimisation) and experience with cloud data warehouses (e.g., Snowflake, BigQuery) as well as at least intermediate knowledge of dbt. - Engineering Mindset: Strong understanding of Git workflows, CI/CD principles, and data modelling methodologies (Kimball, Data Vault, etc.). - Scripting: Ability to write Python to automate workflows or interact with APIs. Prior experience with AI Agents within the conversational analytics space is highly desirable. - Mentorship: Proven experience leading or mentoring a team of engineers in an agile environment. - Communication: The ability to explain complex technical trade-offs to non-technical stakeholders in Marketing or Finance. - Process-Oriented: A passion for documentation, Jira hygiene, and building repeatable processes. Benefits - We're proudly distributed across the globe, with each market being remote-first. Depending on which market you're joining, you might have office access or be fully remote - either works. - Additional benefits that might differ depending on the location. You shall be provided with the benefits details during or after your first conversation with one of our TA Specialists. - Work in a welcoming team which is always ready to help. - Opportunity to develop in an international environment - we have teams in 6 countries.

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!