Data Analyst

hace 4 semanas

Lima Metropolitana, Perú RATA TRANSPORTATION LLC A tiempo completo

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 environment.

Minimum Requirements:

  • +2 years of working experience as a Data Analyst.
  • Proficient in writing and understanding complex SQL and working with large data sets.
  • Working knowledge of Tableau, Qlik, PowerBI, or any other leading data visualization tool.
  • Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields.
  • Fluency in English and Spanish.
  • 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 family:

  • Excellent salary conditions.
  • Supplementary health insurance and free telemedicine.
  • Recharge days (10 Fridays off annually).
  • Hybrid Model (2 work-from-home days per week plus 6 weeks per year).
  • Flexible work environment & hours.
  • Regular team events.
  • Cabify staff free rides.
  • Personal development programs based on our career paths.
  • Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills.
  • All the equipment you need (you only have to bring your talent).

Cabify is proud of being an equal-opportunity workplace. We celebrate diversity and we are committed to creating an inclusive environment for all employees regardless of background, gender, religion, orientation, age, or ability.

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