Checkout Data Analyst

Checkout Data Analyst
- (Hybrid)As you contemplate your future, you might be asking yourself, " What's the next step?’’ Start your journey with usWe'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. Why eDreams ODIGEOWe’re the world's leading travel subscription platform.
We pioneered Prime, the first and world’s leading travel subscription programme since launching in 2017. Millions of Prime members every year across multiple markets.5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine LiligoThis entire Prime experience is powered by a proprietary, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members. Diversity is our strength that’s why our eDOers are coming from different nationalities from all continents – 99% permanent contractsPrime members are subscribed to global travel, gaining access to a comprehensive multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.  What you will do: The Role's

Key Responsibilities
and TasksAs an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global company project and its customers. As a Data Analyst in the Checkout team, you will be in charge of: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.
What you need to succeed:  Good to haveBring your unique perspective, speak up, and offer disruptive solutions. You'll have the opportunity to learn and grow while making a real impact on our team. Here's what you need to succeed: 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).
Advance 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.
Preferred QualificationsExperience 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.
What’s in it for you?The best talent deserves the benefitsAt eDO, we want you to be a part of our success story and great culture.
Here's

what we offer
A rewarding Compensation package Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance-based bonuses, birthday day off, discounts and partnerships