Yago Moura

Senior Data Analyst - Commercial Management

Linx•  August 2022 - Present•  São Paulo, Brasil

Responsible for automating the commercial performance tracking flow, using Apache Airflow to orchestrate ETLs, consumed data via API and databases, and structured data layers (bronze, silver, and gold) for more efficient processing and refinement. Developed a robust data environment on Azure, including virtual machines, databases, and the configuration of networks and VPNs to ensure integration with other company databases. Implemented sales forecasts in Python, providing strategic projections to support commercial decision-making. Created automated communication with HR for the monthly payment of executives' variable compensation, including the automation of dashboards in Power BI. Conducted the breakdown of executives' goals aligned with the corporate budget, ensuring realistic and measurable targets.

Senior Data Analyst - LiveOps

Afterverse•  April 2022 - July 2022•  São Paulo, Brasil

Conducted pricing studies for in-game items, aligning prices with user behavior and expectations. Monitored and analyzed in-game monetization revenue, ensuring visibility into the game’s financial performance. Developed and implemented A/B tests in stores to evaluate sales strategies and boost conversions. Optimized pricing strategies for new and existing items, maximizing attractiveness and profitability. Analyzed user consumption patterns, generating insights to adjust offerings and increase game engagement.

Senior Data Analyst - CRM (Customer Relationship Management)

Stone•  August 2021 - March 2022•  Rio de Janeiro, Brasil

Responsible for measuring and analyzing CRM/Marketing communication data for Stone. Conducted analysis and statistical validation of A/B tests, ensuring communication effectiveness. Automated test campaign launches using Apache Airflow, optimizing communication workflows. Utilized Looker Studio (Google Data Studio) to measure communication campaigns, providing clear visualizations for tracking results. Performed integrations with Salesforce to consume and process customer data.

Mid-level Data Analyst - Product

Stone•  December 2017 - August 2021•  Rio de Janeiro, Brasil

Responsible for transactional data analysis and analytics (web and app) for the ContaStone product, focusing on insights and opportunities for the product team. Contributed to the initial development of the Conta Stone product, from specification through launch strategy and feature optimization. Used BigQuery integrated with Firebase to map product flows and funnels, identifying bottlenecks and optimization opportunities in ContaStone. Created detailed data flow visualizations using Metabase, providing actionable insights for development, operations, and product teams. Implemented Apache Airflow to automate reports and report results to BACEN (Central Bank of Brazil). Led the Unit Economics project for Conta Stone users, providing critical analyses for the product's financial sustainability.

Intern - Commercial Management

Stone•  June 2017 - December 2017•  Rio de Janeiro, Brasil

Developed dashboards in Power BI to monitor business indicators such as churn, TPV, and market share. Assessed commercial performance results for area executives, providing visibility into performance and goals. Generated analyses on churn, clustering, and profitability indices to support decision-making in commercial management. Focused on generating intelligence data to optimize the company’s commercial performance.

Intern - Financial Management

L'Oréal•  October 2016 - June 2017•  Rio de Janeiro, Brasil

Responsible for developing and presenting P&L reports for the luxury division, ensuring accurate financial visibility. Reported financial results directly to the L'Oréal France team. Controlled and approved marketing expenses, optimizing budget usage. Made adjustments to SG&A lines, ensuring alignment with the company’s financial objectives. Developed an integration with SAP using Python to automate financial and pricing indicator reports. Integrated SAP data with Power BI, facilitating data analysis and indicator tracking.