Exploration and Modeling: Use advanced SQL to extract, join, and model large volumes of navigation and business data in cloud environments (GCP/AWS).
Insights and Visualization: Develop executive dashboards and conduct in-depth analyses of user behavior to support strategic Product, Marketing, or Business decisions.
Generate Web Analytics reports and extract data to analyze ecommerce sales funnels.
Data Collection Strategy: Lead the design and architecture of tagging on digital platforms (app and web), ensuring accurate capture of the user journey.
Validate collection evidence implemented by other teams in non-production environments.
Assist the product team in navigating and building reports in Google Analytics.
Requirements
Solid experience with navigation and behavioral data in digital ecosystems (websites, ecommerce, and apps).
Strong technical knowledge of Web/App analytics and tag management solutions (e.g., Google Analytics 4 and Google Tag Manager).
Advanced SQL skills for handling complex data in cloud data warehouses (e.g., BigQuery, Redshift).
High analytical capability, with experience in data visualization tools (Power BI, Looker, etc.) to translate data into business intelligence.
Understanding of the mobile ecosystem, including attribution tools (AppsFlyer, Adjust, etc.).
Knowledge of advanced data integrations for marketing (server-side tagging, conversion APIs, CDPs).
Experience with other programming languages (such as Python or R) for data process automation.