Junior Analytics Engineer

Tackle complex data problems with a variety of tools and implement innovative and scalable solutions;

Leverage your proficiency in tools such as BigQuery, dbt and Python to efficiently extract and transform raw datasets into structured and usable formats;

Build and maintain data models, reports and dashboards in BigQuery and Looker to provide stakeholders with relevant and timely information;

Apply advanced statistical and analytical techniques to extract meaningful insights from large datasets;

Proactively identify and resolve data-related issues, ensuring the reliability and integrity of analytical outputs;

Collaborate with cross-functional teams to understand business requirements and to implement data-driven solutions;

Communicate complex findings in a clear and understandable manner to both technical and non-technical stakeholders.

A bachelor's degree and a minimum of two years of relevant experience are required. Equivalent combinations of education and experience will be considered;

Proficiency in SQL (SQL Server, BigQuery, or similar);

Experience using data visualization tools (Looker, PowerBI, Tableau, or similar);

Knowledge of statistical programming languages like Python and/or R is a nice to have;

Ability to work autonomously in solving complex technical problems;

Detail-oriented with a focus on data accuracy and quality;

Excellent communication skills with the ability to convey technical concepts to a non-technical audience;

Advanced in English, both written and oral.