Job Description

Posted 6 days ago

As you contemplate your future, you might be asking yourself, what’s the next step? Start your journey with us!

We’re seeking an experienced BI Data Analyst to join our team in Barcelona. Our Business Intelligence team is the centre of excellence for providing insights and learning from the Data. Our goal is to help different teams across the organization to succeed in their mission by providing insights generation and data analysis support in a healthy data-informed environment. If you’re ready to soar, we’re ready to take you there.

Why eDreams ODIGEO

Join the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe.

21 million customers – 44 markets – 5 brands – 6.5M members in Prime
More than 100 million searches per day – Up to 1.8 billion daily AI predictions
Over 1,600 employees – More than 60 different nationalities from all continents 
99% permanent contracts – 36 average age

We’re the world’s leading travel subscription platform and one of the largest e-commerce businesses in Europe. We are a tech company revolutionizing the travel booking experience through our consumer insight, innovative technology, market leadership, and Prime, the world’s first travel subscription program.

What you will do:

The Role’s Key Responsibilities and Tasks

As 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 BI team, you will be in charge of:

Analyse performance and identify behaviours in different data sets; Translate complex and potentially ambiguous information into a clear structure and actionable deliverables.

Perform analysis on large data sets using appropriate data analysis techniques and tools with a strong focus on quality;

Build and maintain dashboards and/or reports to share performance information with senior management and C-level stakeholders;

Identify and analyze relevant customer data to drive business goals and validate hypothesis & designs; turn data into actionable insights;

 Lead data-driven initiatives to improve company decision making and business knowledge

Working with multi-disciplinary teams – Qualitative Researchers, Designers, Product Owners, Developers, and Pricing Managers – to blend different statistical and data analytics techniques to generate a holistic understanding of the users and markets.

What you need to succeed:

Job Requirements

Bring 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:

Degree in a quantitative field (Mathematics, Statistics, Computer Science, Physics, Engineering or other quantitative fields);

5+ years of related experience as a Data Scientist, AI expert or Machine Learning engineer;

A solid understanding of relevant statistical, data processing and machine learning methods and their implementation using standard open source frameworks; Experienced with building production ready machine learning solutions and MLOps;

Experienced Python developer. Other programming languages are a plus;

Experience with cloud platforms and scalable solutions;

Experience creating solutions powered by Generative AI, specially Large Language Models, and LLM frameworks like LangChain will be a plus;

Written and oral communication skills (in English).

What’s in it for you?

The best talent deserves the best benefits

At 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, relocation support and the possibility of choosing your equipment and, even better, keeping it for free after 3 years.

Continuous learning to fuel your growth and explore new horizons! 📚 Learn and grow with free Coursera access, soft skills workshops, tech training, leadership development, and more. Plus, enjoy a great onboarding program.

Grow opportunities to empower your career, and unleash your potential! 🚀 Personalised career paths and the eVOLVE Program will help you discover, grow, and thrive. Internal mobility opportunities let you pursue horizontal career changes and promotions.

Your Well-being is our priority. Embrace Freedom and Flexibility! 💙 At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home-office model focused on outcome, not time-in-seat. You’ll be able to find the right work-personal life balance that suits you best.

Work hard, party hard! We believe in having fun and connecting with colleagues! 🎉 Join eDO for after-work events, padel tournaments, parties, and more. Create communities based on your passions, like sports and music. Come to work as you are, with no dress code, and enjoy free fruit, coffee, and tea at our offices.

Enjoy a dynamic and healthy environment! 💫 Be innovative, take risks, and share your ideas. Our diverse and open-minded teams support high performance, learning, and growth. You’ll work in an Agile mindset environment with recognition at our core.

Wanna take a peek into what it’s like to work at eDO? Follow us on LinkedIn and discover more about life at eDO! If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further! Take your career to new destinations by applying now and help our diverse, inclusive, and passionate team shape the future of travel.

Apply now!

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation.

Job Summary Spain Location Permanent Job Type