.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 Marketing Data Analyst, you'll be part of an exceptional team of over 30 SQL and data visualization specialists and be focused on a specific problem space ensuring that every decision in Marketing team is data-driven.In your day-to-day role, you'll work conducting data analysis aimed at helping decision makers to maximize digital traffic sources' return, as well as sizing the impact of flows and communications to our different audiences, including CRM campaigns managed through Braze, all of this by working closely with Engineering discipline. We also follow agile methodologies 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, as well as multiple data sources related to digital networks and our customer engagement platform, Braze.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 Marketing 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 analytics and reports using Tableau 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 Marketing team 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, including network integrations.Help design and define events with Engineering to be consumed by networks and platforms.Develop Data Sources to use across the organization, thus empowering business by exploring data in a trusted environment