Guilherme Pio

As a Data Engineer, I am responsible for maintaining and creating data pipelines for Drive, Storefront, and Voice Ordering products. I also investigate and analyze critical issues regarding data, create reports and graphs, and support business teams.

As a Senior Data Analyst, I assisted a growing startup with various data analysis tasks, ETL, reporting, and automation. My focus was particularly on customer behavior, event tracking, and product analytics.

As an Analytics Engineer, I was responsible for organizing the company's data environment, from data landing to ETL/ELT processes. I also handled data transformation, creation of curated tables, and delivery of value studies.

As an Analytics Engineer, I was responsible for creating data solutions for the Promotions squad. This included developing data engineering flows with SQL and Python, automating tasks with real-time data via REST API, and providing insights through data analysis with Databricks and Tableau.

As a Senior Strategy and Data Analyst, I was responsible for providing insights and deep analysis focused on attribution, growth, tracking, and product data. I also performed AB testing for growth hypotheses using Google Optimize.

As a Senior Data Analyst, I was responsible for raising growth hypotheses and monitoring their KPIs. I delivered deep analysis by merging internal and external data, primarily attribution and tracking data from web and mobile applications.

As a Business Intelligence Analyst, I was responsible for diagnostic analysis and creating visualizations related to the bank's business development, including credit, investments, fees, products, and customer experience. I also performed predictive analysis about customer churn.

Obtained certification in Advanced Google Analytics and Google Tag Manager from Google. Developed expertise in web analytics, data tracking, and tag management for digital marketing.

Completed a course on Python Fundamentals, gaining essential programming skills for data analysis. Focused on core Python concepts and libraries relevant to data science.

Completed a comprehensive program in Administration, focusing on core business principles and practices. Gained foundational knowledge essential for a career in business and data analysis.

Acquired a certificate in Entrepreneurship from SEBRAE, focusing on key aspects of starting and managing a business. Developed skills in business planning and entrepreneurial strategies.