Data Scientist

Reposted 6 Days Ago
Be an Early Applicant
Madrid, Comunidad de Madrid, ESP
In-Office
30K-40K Annually
Junior
Software
The Role
As a Data Scientist, you'll analyze large datasets using SQL, create dashboards with Tableau/PowerBI, and present findings to drive business decisions.
Summary Generated by Built In

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 Scientist, Advanced and Product Analytics, you'll be part of an exceptional team of over 30 SQL and data visualization specialists. Our Data Science, Advanced and Product 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:
  • Exploit large-scale data warehouses performing efficient SQL.
  • Define ETL models in our datawarehouse with Airflow.
  • Document and maintain your code and queries in Gitlab.
  • Create dashboards and reports using Tableau / PowerBI to communicate results and monitor KPIs regularly.
  • Execute exploratory analysis to shape future projects and provide action recommendations.
  • Present findings to squad team members 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, collaborate in the data models design, granularity, and how they relate to existing models.
  • Help design new features alongside product managers and engineers, 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.
Our ideal candidate has:
  • Great alignment with our principles, we take this very seriously
  • At least 2 years of working experience as an Analyst
  • Experienced in writing and understanding complex SQL and working with large data sets
  • Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
  • Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
  • Fluency in English and Spanish
Bonus points:
  • A Master's degree in Business Analytics, Business Intelligence, or related 
  • Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
What’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: 30.000€ - 40.000€

🏝️ Recharge days

🌍 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. 

Join us!

Skills Required

  • At least 2 years of working experience as an Analyst
  • Experienced in writing and understanding complex SQL
  • Working knowledge of Tableau, Qlik, PowerBI, Looker, or any other data visualization tool
  • Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
  • Fluency in English and Spanish
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The Company
Madrid, Madrid
3,488 Employees
Year Founded: 2011

What We Do

Cabify, company that has been a signatory member of the UN Global Compact since 2018, connects private users and companies with the means of transport that best suit their needs. Its main objective is to make cities a better place to live. For this, it seeks to decongest the streets by providing, through technology, a safe and quality transport option. Founded in 2011, in Madrid, Cabify extended, a few months later, to Latin America and is currently present in Argentina, Brazil, Chile, Colombia, Ecuador, Spain, Mexico, Panama, Peru, Uruguay, Portugal and the Dominican Republic. Cabify adapts to the particularities of the almost 100 cities in which it operates. With an almost entirely Latino team, it stands out for betting on local talent, generating jobs in an industry that is being transformed by technology. Cabify, as part of its commitment to be a socially responsible company and in line with the SDGs, is the first MaaS in Latin America and Europe to offset 100% of the CO2 emissions generated by its operation.

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