Data Analytics (SQL)

As a Data Analyst, you'll be part of an exceptional team of SQL and Data visualization specialist.

In your day-to-day role, you'll work in a multidisciplinary squad with other disciplines such as Product, Engineering, Growth, and Operations. They also follow agile methodologies within each analytics group and foster an environment of knowledge and resource sharing among the department.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., 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 Analyst
• Proficient in writing and understanding complex SQL and working with large data sets
• Working expertise of Tableau or PowerBI
• Product Analytics experience with Amplitude, Datadog, Mixpanel, or similar
• Graduate degree in Business Administration, Economics, Engineering, Statistics, or related fields
• Fluency in English and Spanish