Job Summary: We are seeking a Data Analyst to lead marketing initiatives by structuring and integrating multiple data sources into a robust CDP architecture, ensuring consistency and scalability. Key Highlights: 1. Lead CDP strategy and data centralization 2. Develop complex Identity Resolution logic 3. Manage marketing data pipelines on GCP **What We’re Looking For?** A Data Analyst capable of leading marketing-oriented data initiatives—structuring and integrating multiple data sources into a robust CDP architecture—with strong expertise in cloud-based data pipelines, identity unification, and tracking governance. A professional with deep technical vision, autonomy to architect end-to-end solutions, analytical capability to ensure cross-platform consistency, and experience activating data across diverse channels—ensuring quality, accuracy, and scalability across the entire ecosystem. **Key Responsibilities:** Architect and lead the development or implementation of the Customer Data Platform (CDP) strategy, centralizing data from multiple sources; Develop and maintain complex Identity Resolution logic (Identity Graph) to unify profiles of anonymous and identified users; Manage marketing data pipelines in the GCP environment (BigQuery, Dataflow), ensuring data cleansing and availability; Ensure technical governance of GTM (Google Tag Manager) and GA4, implementing robust data layers and monitoring tracking quality; Build integrations for data activation (Reverse ETL) to media platforms (Google Ads, Meta, CRM). **Requirements:** Proven experience building, architecting, or technically managing CDPs (either via commercial tools or composable architecture in a Data Warehouse); Advanced proficiency in the GCP (Google Cloud Platform) stack, with mandatory focus on BigQuery and advanced SQL; Deep knowledge of Identity Resolution (deterministic and probabilistic methods, ID unification); Technical mastery of GA4 (raw data export) and GTM (server-side, complex tag implementation, and JavaScript customization); Experience with programming languages for data manipulation (Python or SQL); Strong analytical skills to diagnose data discrepancies across platforms; Bachelor’s degree in Computer Science, Engineering, Statistics, or related fields. **Nice-to-Haves:** Familiarity with Reverse ETL tools (e.g., Hightouch, Census); Understanding of Data Clean Rooms and privacy architecture. **Work Location: Remote** **Why Build Your Career at Meta?** We offer autonomy, clear goals, and a dynamic, challenging environment where professionals have opportunities to interact with diverse technologies, participate in all types of projects, bring new ideas, and work from anywhere in Brazil—and why not, anywhere in the world? Additionally, we are one of the best companies to work for in Brazil according to Great Place to Work, and among the top 10 fastest-growing companies in the country for three consecutive years, per the Informática Hoje Annual Report. **Our Core Values:** * We are people serving people * We think and act like owners * We are driven by performance * We grow and learn together * We pursue excellence and simplicity * Innovation and creativity are in our DNA All individuals are welcome regardless of condition, disability, ethnicity, religious belief, sexual orientation, appearance, age, or similar attributes. We want you to grow with us in an inclusive, opportunity-rich environment. If this resonates with you, then #JoinMeta!