Description: * Intermediate/Advanced knowledge in Excel and BI; * Knowledge in logistics operations; * Completed or ongoing higher education in Business Administration, Logistics, Data, or related fields. * Programming languages: proficiency in SQL for data manipulation and knowledge of Python or R for advanced analytics. * Data visualization tools: experience with Power BI, Tableau, Looker Studio, or equivalent tools. * Data modeling and structure: understanding of relational and non-relational databases (e.g.: SQL Server, PostgreSQL, BigQuery, MongoDB). * Statistics and data analysis: knowledge of statistical methods, performance indicators (KPIs), and exploratory and predictive analyses. * Data manipulation and processing: use of tools such as advanced Excel, ETL (Extract, Transform, Load), and libraries like pandas and numpy. * Concepts of Data Warehouse and BI: understanding of data architectures, pipelines, and integrations. * Data analysis, structuring BI, Front-end, generating insights from analyses. * Develop operational and tactical indicator analyses. * Validate processes and procedures relevant to analytical data generation. * Develop dashboards and data consolidation. * Seek improvements in workflows and processes through automation. * Perform control and management of indicators, KPIs, and SLAs. * Comply with company norms and procedures. 2511170202461874325