ANALYTICS ENGINEER

What is ExoticcaExoticca is a pioneering online travel agency that has revolutionized the conception, production, and e-commerce of long-distance dream trips.
At the core of Exoticca's brand equity is the commitment to "creating life milestones." We believe in delivering best-value trips, exploring unique destinations, curating extraordinary travel experiences, and demonstrating genuine care for both our customers and the planet.
e are a professional, dynamic, multicultural team in rapid international growth, seeking new partners to help us create the best and most forward-thinking travel company of our generation.
hat about the Data team?At Exoticca, the Data team is the main driver of data as a strategic asset, ensuring it is essential in key decision-making across the whole organization.
We capture vasts amount of data from multiple customer touch points, spanning from consideration and booking, to pre-travel, travel, and post-travel.
Combined with our customer-centric and AI-driven approach approach, we believe that our data-driven culture is the key to deliver unparalleled personalized product & services, that wow our customers and create unforgettable experiences to be remembered for a lifetime.
n order to achieve such ambitious goals, our Data team operates as a cross-functional unit, collaborating closely with departments such as Marketing, Product, Travel, Sales, and Customer Success.
This setup allows us to work end-to-end — from raw data ingestion and modeling, to the delivery of impactful insights, predictive models, and AI-powered applications.
We strive to uncover the most valuable opportunities our data can offer and turn them into actionable business initiatives, scalable data products, and customer-centric experiences.
Whether it’s growing sales, enhancing personalization, driving automation, or optimizing processes, we believe in using data and AI not just to understand the business — but to shape its future.
If you’re passionate about data, AI, and creating real impact, we can’t wait to have you on board!Which will be your main responsibilities.
Translate business needs into data models and products, ensuring scalable and maintainable pipelines that serve both analytics and AI use cases.
Design, model, and process event-driven data using technologies such as Kafka and Snowplow, enabling reliable real-time and behavioral tracking across the customer journey.
Leverage AI tools such as text-to-SQL and conversational interfaces, and contribute to the development of a semantic layer to enable business users to query data with natural language.
Define and maintain core business metrics in our semantic layer, ensuring consistency and clarity across teams for performance tracking and forecasting.
Collaborate with stakeholders to identify opportunities for predictive modeling, automation, and ML integration in our data ecosystem.
Build and optimize dashboards and visualizations that expose key insights, empowering teams to make data-informed decisions.
Apply statistical and mathematical knowledge (e.
., regression analysis, hypothesis testing, variance analysis) to solve complex business questions.
Work cross-functionally with Marketing, Product, and Operations to support roadmap decisions and measure feature impact with data.
Contribute to our data architecture, promoting best practices in data quality, version control, documentation, and deployment through tools like dbt, Airflow, and Trino/Iceberg.