Management and continuous updating of Google Analytics 4 (GA4), ensuring accuracy in collecting and storing traffic, event and customer behavior data.Application of predictive, descriptive, diagnostic and prescriptive analysis to support strategic decisions aimed at increasing sales, optimizing leads and solving business problems.Use of Machine Learning techniques to predict sales trends, resulting in significant improvements in operational performance.Development and optimization of SQL queries in BigQuery, leading real-time data analysis and management of large volumes of data.Creating integrated and customized dashboards using Google Data Studio, Tableau, and other visualization tools to provide detailed, real-time insights.Implementation of ETL (Extract, Transform, Load) processes, promoting security and data governance practices to ensure compliance and operational efficiency.Integration of data from multiple sources to support strategic decisions and improve organizational efficiency.In-depth knowledge of Google Cloud Platform (GCP), Big Data, and Business Intelligence (BI), with advanced skills in Python, SQL.

On behalf of Google, I worked directly with large advertisers, companies and marketing agencies in Brazil and Spain, developing data-based digital solutions to boost businesses and strengthen brands.Performing detailed quantitative analysis using data and analytical methods, providing actionable insights for optimizing campaign scheduling, measurement, and attribution.Consulting on direct purchasing strategies (CPC, CPM, CPA) and campaign optimization, resulting in an 80% increase in sales through market analysis and performance metrics such as ROI, ROAS, CPA, Tx.Conv, Average Ticket, CAC, LTV, MRR, and A/B testing.Collaborate with sales teams to develop reports and manage data using Advanced Excel (Macros, VBA), including creating complex data models.

- Conducted sales process analysis and developed solutions focused on optimizing ROI and increasing operational efficiency.- Led B2B/B2C sales, managing and training teams, which resulted in a 20% increase in sales in 9 months.- Application of data analysis to identify opportunities for improvement and improve the performance of sales teams.- Implementation of predictive models to predict sales trends and adjust strategies as necessary.