Analytics Engineer

Summary

Join Exoticca's Data team as a key driver of data-driven decision-making across the organization. Translate business needs into data models and products, ensuring scalable and maintainable pipelines. Design, model, and process event-driven data using technologies like Kafka and Snowplow. Leverage AI tools and contribute to the development of a semantic layer for business users. Define and maintain core business metrics, collaborate with stakeholders to identify opportunities for predictive modeling, and build dashboards and visualizations. Apply statistical knowledge to solve complex business questions and work cross-functionally to support roadmap decisions and measure feature impact. Contribute to data architecture, promoting best practices in data quality and version control.

Requirements

• Proficient 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

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

Preferred Qualifications

• 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 mind
• Experience working in squad teams, Agile and Kanban processes and frameworks

Benefits

• Competitive 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