About the Role
As you contemplate your future, you might be asking yourself, "What's the next step?" Start your journey with us! We're seeking highly skilled technical Data Analysts for the Checkout team who are passionate about data, automation, analysis, and innovation, and who love working in a collaborative and agile environment. If you're ready to soar, we're ready to take you there. We're the world's leading travel subscription platform.
Responsibilities
•Build the infrastructure required for the extraction, transformation and loading of data from a wide variety of data sources.
•Assemble large and complex datasets, with an optimal data pipeline architecture, meeting business requirements.
•Implement processes to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
•Create alerts and dashboards to contribute to the monitoring and tracking of our business KPIs.
•Identify, design and implement internal process improvements: automating manual processes, optimising queries, re-designing infrastructure for greater scalability, etc.
•Collaborate with analytics and business teams to improve data models that feed existing reports or create brand new reports with the aim to increase data accessibility and foster data-driven decision making across the organisation.
•Contribute to the delivery of strategic projects by participating in the delivery of key initiatives, giving support to the analytics and business teams when it comes to data availability and visualisation to ensure progress and effective delivery of the desired outcomes.
•Work together with stakeholders in the execution of the projects.
Requirements
•Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Mathematics, Statistics, etc.).
•Experience building and optimising data pipelines, data sets and workflow management tools (e.g. Dataform).
•Advanced knowledge of SQL is a requirement, as well as experience working with databases and large sets of data.
•Python programming skills are also required, as well as experience in data visualisation or exploration tools such as Looker Studio.
•An AI-first mindset — proactively exploring how AI tools can improve efficiency and quality of work.
•Advanced Office skills. Strong experience with analytical tools, ideally with Microsoft and Google Office packages (Excel, etc.).
•Strong analytical and problem-solving skills, with high attention to detail.
•Strong organisational and communication skills.
•Experience supporting and working with cross-functional teams in a dynamic environment.
•A self-starter and team player, who also enjoys having fun!
•Business Proficiency in English.
Nice to have
•Experience with Applied AI Tools: demonstrated comfort using practical AI tools such as Gemini, or other AI-powered assistants.
•Experimentation Mindset: curiosity and eagerness to explore, experiment with, and integrate emerging AI-driven solutions into workflows.
•AI-Enhanced Problem Solving: ability to effectively leverage AI tools to streamline processes and enhance productivity.
•Adaptability and Learning Agility: enthusiastic about continuously learning and quickly adapting to new AI features and capabilities.
Benefits
•A rewarding compensation package: Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships, relocation support, and premium equipment with role-based selection options and device ownership through the equipment lifecycle program when it reaches its refresh cycle.
•Continuous learning: free Coursera access, soft skills workshops, tech training, leadership development, and a great onboarding program.
•Growth opportunities: personalised career paths and the eVOLVE Program; internal mobility opportunities for horizontal career changes and promotions.
•Flexibility: hybrid home-office model focused on outcomes, to find the right work-personal life balance.
•Social life: after-work events, padel tournaments, parties, and communities based on passions like sports and music.
•No dress code, free fruit, coffee, and tea at the offices.
•A dynamic and healthy environment with an Agile mindset and recognition at its core.
