Guilherme P.

Responsible for maintaining and creating data pipelines for Drive, Storefront and Voice Ordering products, along with investigating and analyzing critical issues regarding data, creating reports and graphs and supporting business teams.

• Responsible for 50+ tables and pipelines of three different products
• Creation and maintenance of ETL data pipelines
• Running investigations and analysis regarding the efficiency of the data pipelines
• Supporting analysts and stakeholders with issues regarding data

• Senior Data Analyst helping a growing startup with data analysis, ETL, reporting, and automation, especially regarding customer behavior, event tracking, and product analytics.

• All kinds of ad hoc analysis and data extractions for C-levels and managers.

• Data pipelines, SQL reports, and Dataviz with Mode Analytics.

• Heavy user of GA 4, its BigQuery Schema, and Google Tag Manager for deploying events and scripts.

• A/B testing for product hypothesis.

• Analytics Engineer responsible for organizing the company's data environment, from the process of data landing, ETL/ELT, data transformation, creation of curated tables and delivery of value studies.

• Data Engineering with Dataform (DBT alternative for Google) and Python scripts.

• Data Governance of the BigQuery Data Warehouse.

• Creating ML models to search for patterns in users' financial data.

• Dataviz with Looker Studio and Matplotlib.

• Responsible for creating data solutions for the Promotions squad, from creating data engineering flows with SQL and Python, automating tasks with real-time data via REST API and providing insights through dense data analysis with Databricks and Tableau.

• Data ingestion with PySpark.

• Automatic alerts via Slack using Python and AWS Lambda.

• Data pipelines and analysis with Databricks.

• Dataviz and interactive dashboards with Tableau.

• Senior strategy and data analyst responsible for providing insights and deep analysis on attribution, growth, tracking, and product data.
• Conducted A/B testing for growth hypotheses using Google Optimize.
• Developed ETL workflows using Python, SQL, and Google BigQuery.
• Created data visualizations and interactive dashboards with Power BI and Google Data Studio.
• Deployed tags and scripts with Google Tag Manager.
• Extensive user of Google Analytics 360 and its BigQuery Schema.

• Senior strategy and data analyst responsible for providing insights and deep analysis focused on attribution, growth, tracking, and product data.

• AB testing for growth hypothesis with Google Optimize.

• ETL workflows with Python, SQL, and Google BigQuery.

• Dataviz and interactive dashboards with Power BI and Google Data Studio.

• Deploy tags and scripts with Google Tag Manager.

• Heavy user of Google Analytics 360 and its BigQuery Schema.

• Senior Data Analyst responsible for raising growth hypotheses and monitoring their KPIs.

• Delivering deep analysis merging internal and external data, mostly attribution and tracking data from the web and mobile app.

• Intrapreneurship responsible for raising growth hypothesis.

• Analyze tracking data from tools like Google Optimize, Google Analytics, Google Tag Manager, and Google BigQuery.

• Dataviz and interactive dashboards with Tableau and Google Data Studio.

• Support to marketing, planning, FP&A, and operation teams doing data modeling, analysis, testing, and dashboards.

• Responsible for diagnostic analysis and creation of visualizations on any matter regarding the bank's business development - e.g., credit, investments, fees, products, and customer experience...

• Dataviz and interactive dashboards with Power BI and Excel.

• Predictive analysis about customer churn.

• Data ETL for the creation of corporate databases.

• Deliver dense studies about the bank's business development.