Gt972 | Analytics Engineer

Detalles de la oferta

What is Exoticca? Exoticca was founded in 2013 by a team of travel visionaries with deep knowledge in the creation and online distribution of multi-day tour packages. Our mission is to offer our clients the possibility to visit the most beautiful and stimulating places on our planet, through the best holiday packages, at unbelievable prices. At Exoticca, we are looking for people who want to offer their best to create unforgettable experiences for our customers. We are a young, dynamic, multicultural team of around +350 people, in rapid international growth, seeking new partners to help us create the best and most forward-thinking travel company of our generation.
What about the Data team? At Exoticca, the Data team is responsible for making data essential in key decision-making across the whole organization. We capture vast amounts of data from multiple customer touchpoints, spanning from consideration and booking to pre-travel, travel, and post-travel. In order to achieve such ambitious goals, our Data team works together with other departments, such as Marketing, Product, Travel, Sales, or Customer Success, to uncover the most valuable insights our data can deliver and convert them into actual company initiatives, business decisions, or product features.
Which will be your main responsibilities: Understand business needs and deliver insightful analyses that help our internal teams make the right decisions. Define and update key metrics that help us understand the current status and forecast the future of our business. Design and implement dashboards to visualize key metrics throughout the full customer journey, from lead to booking and post-travel. Partner with other departments (Marketing, Product, Travel, etc.) to proactively influence their roadmaps to deliver maximum customer value. Communicate results and insights from your analyses to top management. Minimum Requirements: Proficient in building queries with SQL, dbt, Git, and cloud services/ETLs. 2-5 years of work experience in a similar role analyzing data. Previous experience working with Python and analysis tools such as Pandas, SciPy, Scikit, Jupyter/iPython notebooks, R. Knowledge of visualization tools like Looker, Tableau, Qlikview, etc. Fluency in English. Desirable: Big Data technology experience is highly valued (Redshift, Spark). Past work experience as a consultant for airlines and/or OTA firms with a focus on airline pricing and distribution. Experience working in squad teams, Agile and Kanban processes and frameworks. What we offer: Competitive compensation package in line with job responsibilities and experience. Flexible compensation management for diet, transportation, and private health insurance. Individual training budget. 100% remote work model. Permanent contract from the start. Travel packages at reduced prices! Referral bonus if you bring people as talented as you. Unlimited coffee, team lunches, English lessons, quarterly activities, biannual parties.
#J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Jobleads

Requisitos

Dba Oracle (Horario Tardes), 100% En Remoto

DBA Oracle (horario tardes) En Serem estamos comprometidos con diversos proyectos y queremos contar con los mejores profesionales del sector. Nos encontramos...


Serem - Barcelona

Publicado 14 days ago

Programador/A Pl1, Hibrido

Programador/a PL1 Programador PL1 (Cobol) Experiencia mínima de 5 años. Funcionalidades y responsabilidades o Experiencia en desarrollo de PL1 con conocimi...


Cas Training - Barcelona

Publicado 14 days ago

DevSecOps Engineer with English, Barcelona

DevSecOps Engineer with English Are you excited to impact the Digital world of one of the luxury car brands? Our client Porsche is the leading company in th...


Babel Profiles - Barcelona

Publicado 14 days ago

Consultor Híbrido Power Platform, Barcelona

Consultor Híbrido Power Platform Perfil buscado (Hombre/Mujer) Desarrollo y soporte de soluciones basadas en Power Platform. Colaborar en la definición d...


Michael Page - Barcelona

Publicado 14 days ago

Built at: 2024-12-28T09:55:00.819Z