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 positionAs 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.+3 years of working experience as a Data AnalystProficient in writing and understanding complex SQL and working with large data setsWorking expertise of Tableau or PowerBIProduct Analytics experience with Amplitude, Datadog, Mixpanel, or similarGraduate degree in Business Administration, Economics, Engineering, Statistics, or related fieldsFluency in English and SpanishA Master's degree in Business Analytics, Business Intelligence, or relatedWhat's it like to work at Cabify?We're a company full of happy, motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team:
Hybrid Model (2 work-from-home days per week plus 6 weeks per year)
Excellent Salary conditions: L3 [38-53K€] Our office is located in Madrid.
Flexible work environment & hours.
Regular team events.
Cabify staff free rides.
Personal development programs based on our career paths.
? iFeel: Free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions.
Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
Flexible compensation plan: Restaurant tickets, transport tickets, healthcare and childcare
All the equipment you need (you only have to bring your talent).
A pet room, so you don't have to leave your furry friend at home
?And last but not least...free coffee and fruit!
Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability.
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