
About Cabify
Sustainable ridesharing for a better urban future
Key Highlights
- Raised $493.8 million in funding
- Headquartered in Ciudad JardΓn, Madrid, Spain
- Over 1,000 employees across multiple countries
- Offers customized transportation solutions with flexible payment options
Cabify is a leading ridesharing mobile app headquartered in Ciudad JardΓn, Madrid, Spain, with over 1,000 employees. The company has raised $493.8 million in funding and serves customers across Spain and Latin America, providing eco-friendly transportation solutions that prioritize community welfare...
π Benefits
Cabify offers a flexible work environment with remote, on-site, or hybrid positions available. Employees enjoy 22 vacation days plus 2 extra days for ...
π Culture
Cabify's culture is centered around sustainability and efficient urban practices. The company is committed to reducing traffic congestion and its envi...
Overview
Cabify is hiring a Data Scientist for their Advanced and Product Analytics team to manage large volumes of data and perform intensive analysis. You'll work with SQL, Google BigQuery, and Amazon Redshift in Madrid.
Job Description
Who you are
You have a strong background in data science, particularly in advanced analytics and product analytics. Your expertise in SQL allows you to efficiently exploit large-scale data warehouses, ensuring that data-driven decisions are at the forefront of your work. You thrive in a collaborative environment, working alongside product, engineering, growth, and operations teams to drive impactful insights. You are familiar with agile methodologies and enjoy sharing knowledge within your team.
Your experience includes working with data visualization tools, particularly Tableau, where you have contributed to one of the largest Tableau Server platforms in Europe. You understand the importance of making data accessible to the entire organization through self-service data sources. You are passionate about leveraging data to improve operational efficiency and enhance user experiences.
Desirable
Experience with data warehousing solutions such as Google BigQuery and Amazon Redshift is a plus. Familiarity with ETL processes and tools like Airflow will help you excel in this role. A background in working with multidisciplinary teams will enhance your ability to contribute effectively.
What you'll do
As a Data Scientist at Cabify, you will be part of a dynamic team focused on advanced and product analytics. Your primary responsibility will be to manage and analyze large volumes of data, ensuring that insights are actionable and aligned with the company's goals. You will define ETL models in our data warehouse using Airflow, contributing to the overall efficiency of our data processes.
You will collaborate closely with various teams, including product and engineering, to ensure that data-driven insights inform decision-making across the organization. Your role will involve performing intensive analysis using SQL and leveraging our data warehouses to extract meaningful insights that drive business growth.
You will also be responsible for creating and maintaining data visualizations that communicate complex data in an accessible manner. By sharing your findings with stakeholders, you will help shape strategies that improve mobility solutions for our users. Your contributions will play a crucial role in making cities better places to live by enhancing the mobility experience for riders and drivers alike.
What we offer
At Cabify, we pride ourselves on fostering an inclusive and diverse workplace. We offer a collaborative environment where your ideas and contributions are valued. You will have the opportunity to work with cutting-edge technologies and be part of a team that is dedicated to making a positive impact on urban mobility. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse backgrounds and perspectives.
Join us in our mission to transform cities and improve the quality of life for their residents. We provide a supportive work environment with opportunities for professional growth and development. Enjoy perks such as a pet room, free coffee, and fruit to keep you energized throughout the day.
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