.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 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 and 5 groups of countries 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 with multidisciplinary teams and 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.Our Data teams include an eclectic bunch of awesome and diverse people from different backgrounds who come together as collaborative and inclusive teams to push boundaries. Having a diverse and inclusive work environment is important for us. That's why we like to count on different points of view in our team that help us to solve problems in a better way.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**:Exploit large-scale data warehouses performing highly efficient SQL.Create dashboards and reports using Tableau / PowerBI at state-of-the-art to communicate results and monitor KPIs regularly.Generate and execute ideas for exploratory analysis to shape future projects and provide recommendations for actions.Present findings to team members and senior management to guide business and product decisions.Work closely with engineers to define what data is needed for analysis, request creation of new app events, 3rd party integrations, design data models, granularity, and how they relate to existing models. - Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environmentGreat alignment with our principles, we take this very seriously