.Do you want to change the world? At Cabify, that's what we're doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we've still got a long way to go...Fancy joining us? About the position As a Senior Data Analyst, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Analytics department is organized around 11 problem spaces that mirror the structure of the entire company, ensuring that every decision we make at Cabify is data-driven. In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. We also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department. If you're passionate about managing large volumes of data, you'll be delighted to know we leverage two different data warehouses, Google BigQuery and Amazon Redshift, to perform intensive analysis thus maximizing operational efficiency. We take pride in working with one of the largest Tableau Server platforms in Europe, where we share not only powerful analysis and visualizations but also Self Service Data Sources, making data accessible to the entire company. You will: Lead technical data projects autonomously to enhance the company's analytics capabilities through functions such as: Exploit large-scale data warehouses performing efficient SQL. Define ETL and abstract data models in our data warehouse with Airflow. Document and maintain your code and queries in Gitlab. Define the squad analytics and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly. Generate and execute ideas for exploratory analysis to shape future projects and provide action recommendations. Define KPIs and present findings to squad members and senior management to guide business and product decisions. Lead discussions with the engineering team to define and design everything required to satisfy our data needs. Help design new features alongside product managers and engineers, giving data insights, measuring their performance and testing their business impact. Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment