Senior Product Data Analyst (Hybrid)

Edreams; Barcelona; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Relocation support

Descripción de la vacante

Edreams está buscando un Analista de Datos de Producto Senior para un rol híbrido en Barcelona dentro del equipo de Experimentos e insights. Se encargará de generar insights y soportar el análisis de datos en un entorno orientado a decisiones basadas en datos.

Requisitos: formación cuantitativa, 6+ años de experiencia analítica y dominio de SQL y herramientas de analítica (Google Analytics, LookerStudio, Tableau).

Formación

• Título universitario en disciplina cuantitativa (Matemáticas/Estadística/CS/Ingeniería/Economía).
• Mínimo 6 años de experiencia en rol analítico con componente cuantitativo.
• Experiencia en análisis de comportamiento de usuarios (rendimiento de producto) con herramientas de analítica.
• Conocimientos sólidos de conceptos de estadísticas y pruebas A/B.
• Fuerte dominio de SQL y trabajo con bases de datos y grandes volúmenes de datos.
• Habilidad avanzada en Office y en herramientas analíticas (Google Sheets).
• Conocimientos en herramientas de visualización (LookerStudio/Tableau/Looker/QlikView).
• Proficiencia empresarial en inglés.

Responsabilidades

• Analizar rendimiento y comportamientos de los sitios y interfaces de nuestros productos.
• Analizar rendimiento y comportamientos de usuarios en pruebas A/B.
• Ayudar a los equipos de producto a generar hipótesis de pruebas mediante análisis exploratorio.
• Limpieza y validación de datos.
• Definición de nuevas trazas en Google Analytics para responder preguntas de investigación de producto.
• Crear y mantener dashboards y/o informes para la alta dirección.
• Liderar iniciativas para mejorar la toma de decisiones y el conocimiento del negocio.
• Colaborar con investigadores de usuarios y diseñadores para detectar brechas de conocimiento.
• Identificar oportunidades de investigación para llenar esas brechas.

Conocimientos

Data analysis

AB testing

English proficiency

SQL

Excel

Google Analytics

Adobe Analytics

Mixpanel

Amplitude

Matomo

LookerStudio

Tableau

Looker

QlikView

Google Sheets

Educación

Bachelor's degree in a quantitative discipline

Herramientas

SQL

Google Analytics

Adobe Analytics

Mixpanel

Amplitude

Matomo

LookerStudio

Tableau

Looker

QlikView

Google Sheets

Excel

Descripción del empleo

Descripción del trabajo

Senior Product Data Analyst (Hybrid)

We're seeking a Senior Product Data Analyst to join our Experiments & Insights team in Barcelona (hybrid) 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.

We’re the world's leading travel subscription pioneered Prime, the first and largest travel subscription programme, which has topped over 7.8 million Prime members since launching in 2017. Millions of customers every year across 44 markets – 5 brands: eDreams, GO Voyages, Opodo, Travellink, and the metasearch engine LiligoMore than 100 million searches per day on our websites - more than 6 billion AI daily predictions Over 1,700 employees – More than 60 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. This 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.

What you will do:

The Role's Key Responsibilities and Tasks

• Analyse performance and identify behaviours in our different websites and interfaces related to our products;
• Analyse performance and user behaviours in the A/B Tests experiments or Pre-Post run by the product teams;
• Help the product teams to generate their testing hypotheses by providing exploratory analysis about our products, past tests, etc;
• Data cleaning and validation;
• Definition of new tracking that will all mostly be added in Google Analytics (to be able to answer different kinds of research/product questions);
• Build and maintain dashboards (mostly using LookerStudio) and/or reports (mostly in Google Sheets) to share performance information with senior management and C-level stakeholders;
• Lead data-driven initiatives to improve company decision making and business knowledge;
• Responsible for one or more team’s projects such as the investigation and implementation of new methodologies, new data analysis techniques or the usage of new tools;
• Collaborate with user researchers and designers to detect gaps in knowledge about our user;
• identify research opportunities to fill those gaps.

NOTE: Data you will be using could come from Google Analytics API or Google Analytics tables in BigQuery, other sources of data stored in BigQuery such as internal databases, customer service database, etc., as well as our data stored and accessible in you need to succeed: Good to have

Here’s what you need to succeed:

• Bachelor’s degree in a quantitative discipline is a requirement (Mathematics, Statistics, Computer Science, Engineering, Economics, etc);
• Minimum of 6 years experience in a role with strong analytical component;
• Previous experience in user behavior analysis (product performance) using data from any of the following: GoogleAnalytics/Adobe Analytics/Mix Panel/ Amplitude/Matomo;
• Strong knowledge of the math and statistical concepts behind A/B testing;
• Strong knowledge of SQL is a requirement, as well as experience in working with databases and large sets of data;
• Advanced Office skills;
• Strong experience with analytical tools, ideally with the Google toolset (spreadsheets, google docs, etc);
• Knowledge of visualisation tools like LookerStudio, Tableau, Looker or Qlikview;
• Business Proficiency in English;
• A self-starter and team player, who also enjoys having fun!

It would be a plus if you have:

• R or Python programming skills (mostly for data extraction and data manipulation);
• Google Analytics knowledge (as well as Google Analytics API, googleAnalyticsR library for R, GA4, etc);
• Previous experience in programming;
• Knowledge on data structure and data sets management in Google Cloud Platform.

Preferred Qualifications

• 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.

What’s in it for you?

• 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 our equipment lifecycle program when it reaches its refresh cycle.
• 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.

If you are ready for a career opportunity with unmatched benefits, continuous learning, and a supportive work-life balance, look no further!

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.