João Paulo Mattos

Led the Strategic Planning team (6 analysts) across Pharmacy, Beverages, Pet, and Shopping, with BRL 350M in GMV under management. Built a data-driven operating model, designing and running KPI governance, dashboards, and operating cadences for all categories to ensure a single, unified view of performance. Conducted ideal assortment/basket, price elasticity, and price index analyses to inform portfolio, positioning, and promotion decisions and maximize category growth. Tracked category and partner P&L, managing an indicator system that accelerates decision-making and improves P&L health. Accountable for category growth, prioritizing levers with positive ROI and measurable impact on GMV/AOV/Coverage. Owned the launch and implementation of the new Beverages vertical (business case, targets, price/assortment governance, rituals, and integration with Commercial/Operations). Delivered executive-ready insight packs with actionable recommendations for directors (prioritization, trade-offs, investments, logistics, and expansion). Strategic Planning | BI | Category Management | GMV | P&L | ROI | KPIs | Assortment | Pricing | Vertical Launch | Go-to-Market | Data Governance | Executive Dashboards | Team Leadersh

• Responsible for strategy and monitoring the profitability and efficiency of partners, achieving a positive operational margin in 90% of the store base. Coordinated actions across teams to ensure effective impacts on the partners' P&L and overall financial performance. • Conducted strategic analyses to define commercial policies by partner type, mapping the base and addressing those who were non-compliant with the policy or exempt from fees. This initiative resulted in approximately 200% revenue growth from fees and subscriptions, directly impacting the P&L of the active store base. • Developed and planned commercial strategies for categories, setting clear goals, monitoring performance, and leading the commercial team to maximize efficiency in achieving OKRs and KPIs. Led ROI initiatives, doubling received investments within a year and optimizing partner revenue returns. • Created and improved a statistical model to guide commercial decisions, identifying correlations between key performance indicators and high-revenue potential areas. • Supported commercial expansions through data extraction and statistical models, performing end-to-end strategic planning and monitoring. • Improved processes impacting offers by identifying key indicators and structuring robust data foundations to support commercial strategies. • Managed and trained two analysts, enhancing workflows to improve analysis quality and query development.

• Strategically responsible for topics related to Growth Levers, Partner Investments, and the Partner Portal (opt-in campaign platform + self-service). • Conduct in-depth analyses of investment engagement and consumption, calculating ROI and identifying the most effective levers by partner type, brand, and region to provide precise recommendations to the commercial team. • Lead discovery initiatives to identify conversion opportunities and perform A/B testing with a sample of LT partners, evaluating investment performance. • Organize insights generated from analyses into a "knowledge library" on growth levers, supporting decision-making, action plan development, and Strategic Planning analyses.

• Mapping, analysis, and guidance for commercial expansion through data extraction, analysis, and statistical models. • Prepare briefings, planning, and tracking of key metrics, as well as creating bi/tri-monthly calendars for brands, aligning them with the iFood calendar. • Monitor store adherence to the ideal quality profile. • Track and enhance quality indexes (GQS 2.0 and other offer qualifiers), develop diagnostics for the existing base to guide the actions of Commercial and Operations teams. • Monitor the growth of the existing store base and measure its contribution to overall results. • Identify performance detractors in the existing base (by category and segment) and propose action plans for improvement.

• Led business intelligence for the "Frete Grátis Extra" and "Vendedor Indicado" programs, driving strategic growth for the company and its partners in Brazil. • Developed dynamic dashboards to monitor KPIs, operational performance, revenue trends, and customer acquisition, utilizing advanced visualization and scenario forecasting. • Conducted user engagement analyses, providing insights on seller behavior to support the Business Development teams. • Created and implemented process improvements, enhancing the experience for both teams and customers. • Applied data visualization techniques to identify new business opportunities, optimize market strategies, and increase commercial effectiveness. • Ensured clarity and consistency in communicating complex data, facilitating understanding across stakeholders. • Reviewed reports and documents, ensuring accuracy and proper activity documentation.

• Conducted market positioning and product pricing analyses, accounting for applicable taxes to maximize sales efficiency. • Translated large data volumes into actionable insights, supporting strategic business decisions and driving organizational growth. • Measured ad effectiveness across various scenarios, resulting in a 5% increase in conversion rates and ROI. • Used advanced data analysis tools to identify trends and patterns, enabling informed and effective decision-making.

• Coordinated international air import operations (collect and prepaid) in collaboration with multicultural teams from various countries, ensuring efficient and flawless operations. • Managed client relationships throughout the import process, resulting in a 97% improvement in billing accuracy. • Monitored and addressed deviations in external remittances or suspicious operations in partnership with Compliance, Fraud, and Risk teams, ensuring operational integrity. • Developed and delivered detailed reports and dashboards for operational monitoring, facilitating the creation of effective action plans.

Customer relationship: analysis of needs and offering solutions, entering portals and respond to multiple requests for quotation. Relationship with third parties: request quotes, carry out follow-up, resale and industrialization. Realization of weekly and monthly KPIs: quotations, orders entered, price lists in the system, invoices, export backlog Production of quotations with national and international clients. Management and monitoring of credit limit, analysis and assistance of pending financial issues, extensions of payment slips and registration of new customers. Opening of feasibility of materials and quality reports in the ERP system. Data entry, analysis and tracking in SalesForce

Creation of import cost spreadsheet. Coordination of collections abroad, Invoice conference, Packing List, AWB or B/L. Request for formal import of goods, consultation of loads in the MANTRA system. Clearance of goods that were going to be valued. Storage Request (DAI) for representatives at their respective airports and port terminals. Carrying out import processes by Account and Order or Order. RADAR qualification: document verification and compilation of documents via processes digital, follow-up of the process with the RADAR license inspectors. Performance of activities in the financial area: issuance of DARF and NF-e for service provision. Issuance of SDA and production of proxies and powers of attorney.

O programa apresenta uma visão contemporânea, tanto teórica quanto prática, e prepara o profissional para o exercício nas organizações modernas da tomada de decisão baseada em dados. O foco está em realmente exercer o processo Data Driven. Completando com Análise Preditiva, com ferramentas de Auto Machine Learning, como Rapid Miner e Alteryx.

Activities carried out and developed in the course are: analyzing various digital channels and their application and interpretation to answer questions in areas such as marketing, commercial, fnancial, logistics and product. Being able to translate large volumes of information and apply visualization techniques and prediction of future scenarios. Collect, clean and analyze data from various sources such as the internet, websites, social networks, local files, local or remote databases.