Lojas Renner S.A.

• Measure the impact of BI and Analytics deliveries, including financial gains, operational efficiency and cost reductions; • Define and monitor KPIs related to implemented initiatives, ensuring continuous visibility of performance; • Estimate and model financial return (ROI) of data projects and initiatives; • Identify operational gains (e.g., productivity improvements, reduction of effort/FTEs) resulting from implemented solutions; • Challenge and support prioritization of requests based on the impact generated for the business; • Conduct exploratory analyses to identify opportunities and generate hypotheses for improvement; • Develop ad hoc analyses to support decision-making; • Document methodologies, calculation assumptions and analyses performed, ensuring traceability and consistency; • Work collaboratively with Data, BI and business teams to ensure alignment on metrics, hypotheses and results.

• Lead and develop robust data pipelines using Databricks, Azure Data Factory, Python and PySpark to support large-scale data projects. • Design and implement scalable solutions for integrating and processing data from multiple sources, including transactional and operational data, ensuring high data quality and governance. • Work with SQL and Databricks to extract, transform and prepare data, as well as create complex transformations to meet analytical and operational needs. • Collaborate with business and data teams, helping translate technical requirements into effective solutions that directly impact logistics operations. • Develop and automate data ingestion, transformation and analysis processes using tools such as Azure Data Factory, APIs, Kafka and Oracle GoldenGate. • Lead the optimization of data pipelines and promote high-performance data engineering practices, with a focus on performance, scalability and proactive monitoring. • Ensure data quality and integrity through testing, validation and governance, collaborating with BI and data science teams. • Mentor junior data analysts and data engineers, fostering team growth and the adoption of data engineering best practices. • Foster innovation in the use of emerging technologies, such as machine learning and artificial intelligence, to apply predictive models and automation.

• Develop, maintain and evolve semantic models and reports on the Microsoft Fabric / Power BI platform • Ensure the technical quality of deliverables: dimensional modeling, optimized DAX measures, RLS/OLS and development best practices • Define and disseminate technical development standards within the BI CoE (Center of Excellence) • Support integration between data engineering layers and the analytical layer, ensuring data is accessible, reliable and performant • Operate and evolve the BI team’s CI/CD pipeline, ensuring quality and traceability of deliveries • Structure and support a self-service model for business areas: training, governance and enabling report creators • Contribute to the management and monitoring of the platform’s analytical capabilities, proposing performance and cost optimizations • Work on data governance initiatives: lineage, sensitivity classification and access policies • Produce technical documentation and conduct workshops and training for internal teams • Collaborate with multiple technology and business areas, acting as a technical reference and solutions facilitator

• Profissional responsável por oferecer suporte administrativo às operações de manutenção predial, garantindo o bom funcionamento das instalações e a conformidade com normas técnicas e de segurança. • Atua na organização de documentos, controle de ordens de serviço, acompanhamento de contratos com fornecedores, gestão de insumos e apoio na elaboração de relatórios gerenciais. • Possui habilidades em planejamento, comunicação e uso de sistemas informatizados para controle de manutenção. Trabalha em parceria com equipes técnicas, fornecedores e gestores, contribuindo para a eficiência dos processos e a redução de custos operacionais.