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.We 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.What 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.In 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.g., 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.RequirementsPassionate about data and its potential to drive insights and innovation.Tech and business experienceProficient in building queries with SQL, dbt, Git and cloud services/ETLs.Experience working with relational databases as well as event-driven and NoSQL storage solutions such as Kafka, MongoDB, Snowplow, and any system capable of transmitting, processing, and analyzing data.2-5 years of work experience in a similar role analyzing data.Strong experience with Python, particularly in data analysis, AI, and machine learning (Pandas, SciPy, Scikit-learn, Jupyter/iPython notebooks).Familiarity with AI concepts and ability to leverage AI to automate and enhance data-driven decision-making.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 in as a consultant for airlines and/or OTA’S firm with focus on Airline pricing and distribution.Passion for digital products and the ability to make software decisions with data in mindExperience working in squad teams, Agile and Kanban processes and frameworks.The opportunity to join an incredible Data Chapter, where you’ll collaborate with diverse roles and nationalities, sharing knowledge and working together on cutting-edge data projects.And last but not least, becoming part of a fun and motivated multicultural team in an agile and rapidly growing organization!BenefitsCompetitive compensation package in line with job responsibilities and experience.Additionally, we propose the use of flexible compensation management for diet, transportation, private health insurance wit Cobee.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.And last but not least, becoming part of a fun and motivated multicultural team at an agile and rapid growing organization!Exoticca is an equal opportunity employer. Diversity and inclusiveness are our core. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under European, country, or local law.Originally posted on Himalayas

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