Job Summary: Design, build, and evolve analytical solutions for the Procurement area, transforming data into strategic assets to support decision-making and optimization. Key Highlights: 1. Transform operational data into strategic assets. 2. Collaborate with various business areas, translating problems into solutions. 3. Develop and maintain KPI dashboards and reports. Design, build, and evolve analytical solutions for the Procurement area, ensuring that operational, financial, and contractual data are transformed into strategic assets for decision-making, cost optimization, and operational efficiency. **Responsibilities and Duties** Design, build, and maintain data pipelines (ETL/ELT) integrating ERP systems, legacy systems, and external databases for procurement analysis. Model, organize, and version analytical databases (Data Warehouse / Data Mart) focused on purchasing, suppliers, contracts, inventory, and costs. Develop and maintain dashboards, reports, and semantic layers for monitoring strategic and operational KPIs. Apply statistical analyses, time-series analysis, and analytical models for demand forecasting, cost prediction, supplier performance evaluation, and risk assessment. Build simulations and scenarios (what-if) to support negotiation decisions, planning, and resource allocation. Implement alerts, data quality rules, and data monitoring to identify deviations, inconsistencies, and optimization opportunities. Automate data flows and reporting processes, reducing reliance on manual procedures and enhancing data reliability and speed. Collaborate with business areas (Procurement, Logistics, Finance, and Executive Management) to translate operational challenges into scalable analytical solutions. Ensure data governance, traceability, and indicator standardization, guaranteeing consistency across departments and systems. **Requirements and Qualifications** * Bachelor’s degree completed; * Strong proficiency in SQL and data modeling; * Experience with BI / Analytics tools (Power BI, Tableau, Looker, or similar); * Hands-on experience with data pipelines, automation, and ERP integration; * Knowledge of statistics, time-series analysis, and predictive analytics; * Ability to transform raw data into actionable business insights. Inpasa Brasil was one of the first Brazilian industries producing **Corn Ethanol**, and today is the **largest producer** of clean and renewable corn-based fuel in **Latin America**. Behind every number or goal achieved stands a team of skilled professionals. In an innovative industry like ours, having trained professionals is a fundamental achievement—therefore, we invest continuously in training, as well as in the well-being and safety of our workers through various benefits.