Analytics Engineer II

Develop and optimize data models to provide relevant product and business information for decision-making. Lead the architecture and development of robust and scalable data pipelines, optimizing ETL/ELT processes. Ensure data quality and security by standardizing, documenting, and governing data practices. Collaborate with teams to define projects and apply a data-driven approach to achieve departmental goals.

Advanced SQL skills and solid knowledge of data modeling and storage. Experience with relational and non-relational databases and cloud data services (preferably GCP). Ability to translate business needs into robust data models and solve problems independently. Effective communication skills with both technical and non-technical teams.

Flexible work arrangements focused on achieving a good balance inside and outside the office. The company promotes a user-centric approach and values team collaboration.