Description: Required * Experience with Google Cloud Platform (BigQuery, Cloud Run, Cloud Functions, or Dataform). * Proficiency in SQL and Python (pandas, numpy, etc.) for data processing and manipulation. * Experience with Power BI (data modeling, DAX, performance tuning, and layout design). * Experience in analytical modeling (Raw, Trusted, Refined layers). * Ability to document and communicate results clearly. Desirable * Knowledge of DataOps, code versioning (Git), and ETL/ELT best practices. * Experience with Martech or digital media data (Google Ads, Meta, CRM, etc.). * Familiarity with AWS environments. * Certifications in GCP or Power BI. Behavioral * Analytical, curious, and solution-oriented mindset. * Strong communication skills with both technical and business teams. * Organized, detail-oriented, and committed to deadlines and quality. * Continuous learning mindset and willingness to contribute to the evolution of the team’s technical standards. In our Data, Analytics, and AI area, you will be challenged to: * Develop analytical models and data transformations in BigQuery and Python. * Create and optimize SQL queries and pipelines aimed at generating business KPIs. * Build Power BI dashboards connected to GCP-modeled data sources, ensuring performance and analytical storytelling. * Collaborate with Data Engineering, Digital Analytics, and BI teams to ensure delivery quality and consistency. * Document processes, models, and metrics in a standardized and accessible manner. * Contribute to the evolution of data modeling, versioning, and governance standards. 2512220202491879711