Grupo Boticário

Financial Planning and Analysis

• Credit portfolio: constructing and modeling credit products;
• Creating and monitoring targets and KPIs to assess partner performance;
• Developing and maintaining Credit and Collections policies;
• Proposing financial solutions focused on credit and risk reduction;
• Leading the development of business logic/rules for new indicators, responsible for building queries and data-related processes and ensuring data accuracy and integrity;
• Designing new processes and driving continuous improvement across the area, with a strategic perspective to propose new solutions;
• Developing dashboards (Looker Studio and Tableau) and reports to monitor business indicators;
• Developing queries in BigQuery;
• Interfacing with multiple areas and collaborating effectively with other teams;
• Leading analyses and providing strategic, data-driven insights.

Credit Financial Modeling Specialist II

Performance Marketing

• Performance & Brandformance Analysis: Combine data from multiple sources to measure the impact of marketing activities on business and brand metrics.
• Technical Autonomy: Extract and manipulate data using SQL directly from the database (BigQuery).
• Data Visualization: Build and maintain performance monitoring dashboards (Looker, Power BI, or Tableau).
• Influence & Storytelling: Translate complex analyses into clear executive presentations.
• Governance Routines: Ensure smooth coordination of performance governance routines with partner teams.
• Methodological Innovation: Develop and test new measurement methods and support the automation of team processes.

Performance Marketing Specialist, Regional II

Data Analyst

• **Develop and Evolve the Data Culture:** Translate raw market and internal data into high-impact, actionable insights to support decision-making.
• **Be the Engine of Automation:** Identify bottlenecks, manual routines, and routine operational processes within the team, designing automated solutions using Google AI tools to deliver efficiency and time savings.
• **Modeling and Visualization:** Support the team of analysts and specialists in data structuring and analysis, linking strategic and operational metrics visually and building in-depth analyses that feed back into the planning process.
• **Partnership and Facilitation:** Collaborate with internal, multidisciplinary teams to co-create solutions.

Insights and Data Analyst III

Frontend Engineer

• Technical Leadership and Standards: Actively contribute to the development of new applications, techniques, and coding standards, promoting the creation of best-practice guidelines.
• Complex Problem Solving: Develop creative solutions for challenges that require innovation, ensuring that deliveries align with the strategic objectives of the area.
• Quality Culture: Raise the standard of code reviews, adhere to defined standards, and seek external references for continuous improvement.
• Operational Excellence (Troubleshooting): Contribute to the resolution of critical incidents, provide technical assistance to other developers, drive monitoring, and promote a post‑mortem culture.
• Project and Value Management: Review epics and projects to ensure incremental value delivery.
• Institutional Representation: Act as the technical point of contact on projects and contracts, interact with external partners, and coordinate demands across different organizations when necessary.

Fullstack Developer – Flutter, React.js III

Product Manager

• As a Product Manager Specialist II, you will be the primary owner responsible for managing and integrating the RGM and Demand ecosystem. The unified platform integrates areas such as Portfolio Management, Campaign Management, etc., bringing together Sell-in and Sell-out operations. You will play a central role during a critical transition phase, balancing maintenance of a legacy system with the construction of a new data- and AI-driven architecture.
• Integration of Complex Ecosystems: Lead the development of a unified platform, with deep understanding of the interdependencies among multiple modules (Planning, Campaigns, Pricing, Simulators) and ensure that technical development directly reflects business value;
• Resilience and Stakeholder Management: Act as the point of connection and trust between Technology and Business areas. You will need to manage expectations regarding accumulated technical debt, restore alignment with planners, and manage executive requirements, negotiating priorities between supporting the current model (As-Is) and developing the future solution (To-Be);
• Delivery Management and Value Focus: Break large, complex projects into incremental value deliveries (MVPs). You will define the functional scope of each phase (e.g., centralized data view, automatic recalculation) and be responsible for excluding non-priority features based on return on investment (ROI) and adoption metrics;
• Change Management: Lead user transition by designing highly usable solutions to eliminate dependence on parallel spreadsheets, ensuring the new platform is adopted organically in partnership with stakeholders;
• Data and AI Orientation: Leverage GenAI for automation and ensure transparency (explainability) of predictive models, aiming to increase planners' confidence, reduce bias from manual interventions, and continuously improve error indicators;
• Mentorship and Raising Standards: Serve as a senior reference within the team, sharing best practices for continuous discovery, methodologies for breaking down deliveries, and strategic documentation applied to RGM and Planning.

Product Manager – Specialist II, RGM and Demand Products

• Define Product Vision and Strategy: Build and communicate the medium- and long-term vision for the portfolio management platform, ensuring the evolution of core themes such as Product Lifecycle and Portfolio Map, as well as other strategic initiatives;
• Lead Complex, Integrated Solutions: Design the roadmap focused on implementing robust rules and conditionals for store (POS) segmentation and for defining segmented assortments, ensuring a scalable and integrated platform;
• Orchestrate the Data and Data Science Ecosystem: Ensure an integrated roadmap between Application and Data teams, leading inbound and outbound integrations with other portfolio systems and connecting to other data science products;
• Stakeholder Management: Act as a strategic partner to Category/Brand teams, commercial teams and channels, leading difficult negotiations, managing conflicts of interest and aligning expectations at a high level;
• Value-Based Prioritization: Apply advanced prioritization frameworks to make trade-off decisions, defending the roadmap based on financial return, franchisee business impact and mitigation of operational complexity;
• Culture and Mentorship: Raise the team’s technical and behavioral standards by mentoring less-experienced PMs, spreading product best practices and structuring mature discovery and delivery processes;
• Leadership in Planning: Lead the development of OKR cycles and PI Planning strategy, ensuring alignment of dependencies across multiple technology, operations and channel teams.

Product Manager – Specialist II

Product Designer

• You will work alongside developers, Product Managers, and the Squad Leader, serving as the design authority and the users' advocate for our digital products.
• As a Product Designer, you will have the opportunity to act across all activities, from conception to prototyping, validation, and testing.
• The Tech Corporate Design Management is responsible for the experience and evolution of the digital products that support the Group's core corporate processes, with a focus on efficiency, automation, and integration across critical business areas.

Product Designer III – Tech Corporate

• Act as a consultative partner and primary point of contact for the commercial team, channels and clients in your portfolio (franchisees and distributors), ensuring a full understanding of requests with a strong customer-centric focus (Customer Success);
• Manage product performance by monitoring daily KPIs such as TPV (transaction volume), penetration, conversion and delinquency, and evaluate the financial impacts of new initiatives;
• Produce structured reports and results presentations, turning complex analyses into clear, coherent and robust messages for leadership and the executive board;
• Lead the product's monthly closing rituals, working integrally with the Credit & Collections area and Grupo Boticário’s commercial structure;
• Perform quantitative and qualitative analyses to map the product journey, identify operational bottlenecks and propose automations, enhancements and refinements to business rules with a focus on efficiency and scalability;
• Support the expansion and growth of the financial solutions portfolio, assisting in designing monetization improvements and continuously refining the value proposition of the products under your management.

Specialist I – Financial Solutions, Customer Success B2B

Analyst

• End-to-end management of high-volume positions for the Retail VP channels.
• Support in the execution of projects related to Talent Attraction.
• Monitor the market and provide insights on talent pools and trends.
• Candidate outreach and interviews: the mission is to find the best professionals who fit our culture, placing the right person in the right role.
• Data and dashboard analysis, generating relevant insights about positions and areas of operation.

Talent Acquisition Analyst II – Retail

• As a PM I, you will be responsible for the Artificial Intelligence and Data journey within the RGM and Demand platform. Your focus will be to ensure that Traditional AI and GenAI capabilities are not only developed but effectively adopted and understood by end users in Sell-in and Sell-out operations.
• AI Journey Leadership: Map and develop the user experience across all interactions with artificial intelligence in GPLAN (from demand forecasts to scenario simulations with GenAI), ensuring the technology addresses real pain points in the planning process.
• Explainability and Trust (Explainable AI): Operate at the intersection of Data Science, Design (UX) and Business teams. You will be responsible for ensuring users understand the reasoning behind algorithmic recommendations, reducing bias from manual intervention (unjustified adjustments to the machine forecast).
• Model Lifecycle Management in the Product: Define the scope of AI deliveries in MVP format. You will need to balance the complexity of data models with delivery timelines, deciding when to use simple heuristics and when to apply advanced predictive models.
• AI Adoption and Performance Metrics: Establish and monitor data-journey-specific indicators, such as recommendation acceptance rate, improvement in WAPE (forecast error), bias, and reduction in planning cycle time.
• Alignment with Technical and Business Stakeholders: Negotiate priorities directly with Machine Learning Engineers and Data Scientists, translating planners’ needs into technical requirements and vice versa.

Product Manager – Specialist I, RGM and Demand Products

• Suportar a viabilidade financeira de novos produtos e inovações das categorias dos Negócios Internacionais do Grupo Boticário, auxiliando na construção de análises de margem bruta e consolidação de dados para os comitês de aprovação;
• Acompanhar e atualizar o gerenciamento de resultados de *topline *(do GMV à Margem Bruta) das marcas e categorias no Internacional, garantindo a acurácia dos dados históricos e projetados;
• Análises de oportunidades para redução de custo e melhora de lucratividade;
• Atuar ativamente na automação de rotinas, apoiando a transição de relatórios manuais para dashboards de autosserviço e otimizando planilhas da área;
• Estruturação de modelos/simuladores financeiros.

Analista FP&A I

Public Relations

• Plan the Data and Analytics strategy for the Logistics Directorate.
• Ensure a single, optimized, and governed view of the Logistics Data Product portfolio by defining processes and minimum standards for data product management (communication, channels, etc.) and by mapping and consolidating synergies among logistics data initiatives to optimize resources and ensure strategic outcomes.
• Orchestrate budget cycles and planning cycles for prioritizing initiatives that maximize value delivery for Grupo Boticário.
• Define, communicate, and monitor work plans for the execution of data/AI projects and products.
• Develop self-service data initiatives and products using data tools and generative AI.
• Ensure alignment with data teams and Logistics business areas so prioritized data solutions are consistent with Grupo Boticário's strategy.
• Communicate complex data insights clearly and effectively to diverse audiences and forums.

Data and Analytics Specialist I - Logistics

• Responsible for foreign exchange closings with banks and due diligence of related documents;
• Primary point of contact and support for internal stakeholders (Accounts Payable, Accounts Receivable, Compliance, Legal, Cash Management, Accounting) to handle provisioning, reconciliation and compliance processes;
• Responsible for maintaining KYC processes with banks and managing NDAs;
• Responsible for analysis, contracting and maintenance of bank guarantees, payment of commissions and compliance with contractual clauses;
• Responsible for controlling and executing payments for services contracted by the area;
• Responsible for consolidating, analyzing and controlling the management budget, monitoring variances between forecast and actuals;
• Support governance on management-wide matters (executive reports, monitoring performance indicators, financial closing);
• Support for financial documentation/attestation of financing with creditors.

Financial Operations Analyst I

• Desenhar e executar a estratégia de treinamentos para canal VD Multimarca (Boticário, Eudora, Quem Disse Berenice, OUI) com o objetivo de garantir a melhor experiência para revendedores;
• Apoiar e alavancar a performance do canal por meio de indicadores chaves (árvore e receita) e alavancas de crescimento;
• Construir a sustentação da jornada de atendimento físico e digital do canal VD, visando otimizar conexões e garantir o aculturamento de novas tecnologias e processos;
• Criar planos de ação para mitigar temas críticos de satisfação do revendedor e resultados de alavancas;
• Garantir transferência de conhecimento de técnicas de venda e execução de boas práticas das alavancas comerciais para o canal VD;
• Conectar as oportunidades de capacitação com áreas de interface (Canal VD, FVC, Categorias, Comunicação) otimizando recursos e maximizando o impacto do treinamento.

Analista de Treinamento III – Varejo

Data Scientist

• Develop Data Science solutions: Create solutions that meet business needs, typically involving exploratory data analysis, machine learning models (supervised and unsupervised) and Operations Research (Optimization).
• Execute the full DS lifecycle: Lead from business understanding and exploratory analysis, through feature engineering, model building and performance validation, providing the necessary support to deploy developed models to production.
• Bridge with the business: Design, together with business areas, model usage and monitoring, ensuring clear communication to explain complex results to non-technical teams.
• Work in an agile team: Operate in a collaborative, multidisciplinary environment, handling cross-technical dependencies among peers with clarity and transparency.
• Explore AI innovations: Support the team in evolving solutions using new AI tools on the market for day-to-day work and for model explainability.