Cadastra

• Design and implement complex technical solutions, ensuring scalability, security, performance and maintainability. • Lead the implementation of complex integrations, asynchronous patterns, error handling and observability. • Evaluate trade-offs between declarative configuration, Apex, LWC, integration and event-driven architecture. • Perform root cause analysis of critical incidents, performance issues and platform limits, and define mitigation plans. • Define deployment strategy, versioning, CI/CD, automation of validations and release governance. • Define integration standards, API security, authentication, failure handling and idempotency. • Develop and review solutions using Apex, LWC, integrations and other Salesforce platform features. • Provide technical support for continuous improvement of solutions and operations. • Mentor developers, deliver technical training and support the team’s growth in seniority. • Support architecture design, estimations, identification of technical risks and the platform evolution plan.

• Manage an integrated, multichannel operation within the CRM platform • Organize the data structure within the platform • Develop strategies for acquisition, activation, engagement, and retention • Manage, clean, and cluster the database • Structure project management, client meetings, and presentation materials • Deliver work and handle requests using agile methodology • Conduct performance, conversion, and engagement analyses • Create dashboards and produce recurring reports • Develop automations and build data extraction processes • Design and implement complex customer relationship flows

• Perform full tagging of the app, web pages, and e-commerce. • Ensure correct parameterization of links, campaigns, and partner media tags (DMP, Facebook Pixel, Google Ads). • Validate development cards/tickets and fix tagging bugs in staging and production environments. • Assist in resolving operational questions about the Data Layer. • Support compliance audit processes related to LGPD (Brazilian General Data Protection Law) and user privacy in the digital environment.

• Map and analyze the user journey in detail (logged-in sections, logged-out sections, and apps), proposing improvements to the customer journey and conversion. • Connect digital metrics to strategic business indicators (campaign ROI, churn, and lifetime value). • Develop, test, and maintain reports and dashboards integrating analytics, marketing, CRM, and media data. • Build highly complex real-time dashboards integrating behavioral data with internal corporate data sources. • Conduct periodic benchmarks against market practices to identify opportunities and gaps in the digital product.

• Atuar como parceiro estratégico nas mesas de performance, gerando direcionamento para os times de produto e negócio; • Liderar iniciativas de inovação e automação inteligente utilizando modelos preditivos e machine learning para personalizar jornadas; • Desenhar e implementar a arquitetura de dados Omnicanal, unificando dados de canais digitais, CRM e mídia paga; • Garantir a máxima confiabilidade, governança, auditoria e escalabilidade de toda a estrutura de relatórios e dashboards que darão suporte a operação; • Desenvolver e ministrar workshops e treinamentos periódicos para disseminar as melhores práticas analíticas nas equipes internas do cliente.

• Construir rotinas de relatórios diários, semanais e mensais focados em indicadores de navegação, performance e conversão. • Construir e manter dashboards automatizados (Looker Studio, Power BI ou GA4) conectados a fontes de dados estruturadas. • Acompanhar o desempenho dos funis de conversão, identificando oscilações bruscas de comportamento e quedas de performance. • Realizar projeções básicas de KPIs de tráfego e comparar os resultados realizados versus projetados. • Automatizar processos simples de extração e manipulação de dados utilizando querys básicas.

• Define the global measurement and analytics strategy directly aligned with the client’s high-level objectives (e.g., churn reduction, ROI and conversion optimization). • Lead the advancement of the company’s analytical maturity by driving an omnichannel vision (integrating data from digital and physical channels, CRM, and paid media). • Sponsor and lead automation and advanced intelligence initiatives (predictive models and machine learning) to anticipate user behavior and personalize customer journeys. • Ensure full corporate compliance with LGPD (Brazilian Data Protection Law) and Information Security through strict data governance frameworks. • Report strategic results, KPI projections, and structural insights directly to Directors and C-level executives.

• Coordenar a fila de demandas, priorizando as tarefas de tagueamento (GTM/Data Layer) e de construção de relatórios em rituais ágeis (Dailys, Sprints); • Garantir a consistência e a integridade dos dados coletados nos sites/aplicativos e a acurácia dos dashboards em Power BI e Looker Studio; • Atuar como ponte técnica e de negócios entre o time de analistas e as diferentes diretorias do cliente; • Monitorar os principais funis de conversão de e-commerce e canais digitais, desdobrando desvios de métricas em planos de ação para o time; • Assegurar a aplicação das políticas de governança de dados e compliance (LGPD) nas atividades diárias do time; • Desenvolver, reter e avaliar o desempenho técnico da equipe de analistas juniors, plenos, seniors e estagiários.

• Design tagging maps and Data Layer specification architectures for GA4, Firebase and Appsflyer environments. • Implement advanced configurations in GTM, including Server-Side Tagging and writing complex JavaScript scripts. • Guide and validate technical deliveries, auditing the integrity of transaction IDs and e-commerce funnels. • Ensure compliance with LGPD (Brazilian General Data Protection Law), structuring Consent Mode flows and auditing third-party tags. • Map technological barriers in navigation flows that impact measurement and propose technical workarounds.

• Define and structure measurement objectives aligned with the client's high-level business goals. • Design and lead the technical data collection architecture in high-complexity ecosystems (logged-in/logged-out sections). • Ensure strict data governance, with automated and regular tag audits and management. • Enable internal teams and client collaborators through workshops and documentation. • Evaluate new technologies and innovations in the Analytics market to propose improvements to digital journey mapping processes.