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Job Summary: Design, build, and evolve analytical solutions for Procurement, transforming operational, financial, and contractual data into strategic assets for decision-making and efficiency. Key Highlights: 1. Transform data into actionable business insights. 2. Collaborate with various business areas. 3. Build and maintain data pipelines and models for Procurement. Design, build, and evolve the Procurement team's analytical solutions, ensuring 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, and analytical models for demand forecasting, cost estimation, 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, reducing reliance on manual processes and increasing information 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** * Completed undergraduate degree; * 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 producers of **Corn Ethanol**, and today is the **largest producer** of clean and renewable corn-based fuel in **Latin America**. For every milestone or target achieved, there is a team of skilled professionals. In an innovative industry like ours, having trained professionals is a fundamental achievement—thus, we invest continuously in training, as well as in our employees’ well\-being and safety, through various benefits.
