Raízen

Public Relations

• Manage the client portfolio (resellers of service stations operating under the Shell brand), ensuring correct execution of signed contracts, pursuing additional volume and managing pricing and margin for fuel supply and other Raízen products and services;
• Support identification and prospecting of new clients, following the company’s established strategy;
• Act as the focal point with internal areas to ensure the best service to the client, while promoting Raízen values internally across credit & collections, pricing, marketing, logistics and engineering;
• Work analytically to perform analyses of the portfolio’s financial health and manage the territory’s KPIs;
• Implement operational excellence and health & safety standards with the client, ensuring the dissemination of appropriate training and execution standards on the forecourt.

Territory Manager (Mid Level)

Consultant

• Lead the growth and investment agenda with the local sales team;
• Lead the mapping and prospecting agenda for new customers and new convenience stores;
• Manage CAPEX for new hires and portfolio maintenance (contract renewals);
• Provide on-site support to the sales team for negotiations of new service stations, new convenience stores, and renewals with existing customers (customer visits);
• Negotiate BiG Cases (major regional accounts);
• Indirectly manage the sales team through influence, performance analysis, and results;
• Train the sales team in negotiation and contracting skills.

Network Development Consultant – Commercial

Software Engineer

• Coordenar as entregas do time de Engenharia de Dados nos projetos estratégicos da companhia;
• Atuar na alocação das pessoas engenheiras de dados conforme prioridades e capacidade do portfólio;
• Garantir alinhamento entre necessidades do negócio, soluções técnicas e arquitetura definida;
• Conduzir o desenho de soluções e arquiteturas de dados em linha com definições do time de Plataforma;
• Acompanhar a construção e sustentação de pipelines de dados em larga escala;
• Garantir boas práticas de engenharia, qualidade, governança e documentação;
• Trabalhar de forma integrada com times de Ciência de Dados e Analytics, apoiando a viabilização das soluções;
• Atuar como interface entre negócio, tecnologia e plataforma;
• Realizar a gestão de pessoas do time, incluindo desenvolvimento, performance e carreira;
• Apoiar a evolução da maturidade de dados e IA da companhia;
• Contribuir para iniciativas de eficiência, performance e uso de agentes de IA no contexto da engenharia.

Coordenador, Engenharia de Dados II

• Manage the indirect relationship with the Distributors in your region, acting as an agent of change and influence and ensuring perfect alignment when translating the Company’s strategies to the Distributors in your market;
• Support distributor owners, executives, managers and coordinators/supervisors by participating in the breakdown and implementation of the strategic plan and ensuring tactical execution down to the sales level of the distributor network;
• Work with nonconformity, ownership and collaboration—these qualities are essential for success in this role;
• Lead, together with Distributors, the development of a business plan to expand regional market share;
• Analyze the market, monitoring competitor activities (promotions, materials, channel-specific actions, etc.) to develop a comprehensive assessment of the behavior of the channels served by the Distributor;
• Serve as the main owner of results for the resellers and Shell service stations sector, seeking to expand the customer base and volume of your assigned Distributors, managing the sustainability of partners’ businesses and complying with the Company’s established premises;
• Develop and train Distributor staff on sales techniques, pipeline management, KPI controls, target management, teamwork, and coach them in developing the competencies required for the business;
• Implement commercial management best practices to ensure the advancement of the franchised partner network;
• Manage marketing initiatives, trade marketing activities and strategic alignment across segments;
• Engage internal and external teams to deliver results by connecting multiple areas of the business;
• Analyze data and performance indicators and business metrics to support better decision-making and partner guidance, and have the ability to develop actions that boost short-term results.

Distributor Consultant

Analyst

• Understand business problems and translate them into prescriptive analytics solutions that maximize value proposition;
• Analyze diverse company data to improve efficiency and implement enhancements for products and services across different business areas;
• Collaborate with cross-functional teams to help create a productive and healthy work environment;
• Prepare technical and business reports on proposed solutions and addressed issues;

Senior Data Science Analyst – Optimization, Prescriptive Analytics

• Understand business problems and translate them into advanced analytics and AI solutions that maximize value;
• Analyze diverse company data to maximize efficiency and implement improvements in products and services across different business areas;
• Work collaboratively with cross-functional teams to help create a productive and healthy environment;
• Prepare technical and business reports on proposed solutions and the problems addressed;
• Co-create and present executive-level materials;
• Communicate clearly and effectively with various stakeholders to present strategic insights and align expectations on the progress of initiatives;
• Foster digital transformation across the company;
• Validate, support, and evolve solutions in production through monitoring quality metrics.

Senior Data Science Analyst

Data Engineer

• Analisar causas raiz com base em dados e processos internos e externos para responder a questões comerciais específicas e identificar oportunidades de negócios e melhorias;
• Construir e otimizar pipelines de dados, arquiteturas e conjuntos de dados complexos e não estruturados;
• Manipular, processar e extrair valor ou soluções de negócio de grandes conjuntos de dados desconectados;
• Apoiar e trabalhar com equipes multifuncionais em um ambiente dinâmico;
• Criar e manter um pipeline de dados estruturados de múltiplas fontes, alimentando os modelos e dashboards, atendendo assim as necessidades de negócio;
• Montar conjuntos de dados grandes (hierarquias e agregações) e complexos que atendam aos requisitos de negócios funcionais / não funcionais;
• Identificar, projetar e implementar melhorias internas de processos: automatizando processos manuais, otimizando a entrega de dados, sugerindo redimensionamento de infraestrutura para maior escalabilidade;
• Desenvolver métricas pautadas nas regras de negócio a fim de medir os entregáveis propostos pelas áreas.