• Consult with HR colleagues and other departments to determine HRIS needs and provide insights to leadership into how HRIS technologies can support the organization's long-term goals • Recommend forward-thinking strategies and innovative solutions for system enhancements, integrations, process improvement, customer service and user experience • Manage HR technology projects and process improvements such as system upgrades, implementations of new modules, and the integration of additional functionalities • Collaborate with various stakeholders, including HR teams, IT professionals, vendors, and end-users, to gather requirements, define project scopes, and manage expectations • Build project plans and schedules based on facts, constraints and probably consequences, executing projects on time, within budget and to defined specifications • Identify potential risks associated with HRIS projects and develop and implement strategies to mitigate disruptions including anticipating challenges related to data migration, system integrations, or user adoption • Maintain detailed documentation of project plans, milestones, and outcomes to facilitate knowledge transfer, audits, and continuous improvement • Conduct post-implementation reviews to assess the success of projects including gathering feedback, analyzing performance against objectives, and identifying areas for improvement in future projects • Monitor HRIS integrations to ensure they are functioning properly and work with team members cross-functionally to improve them • Perform system maintenance, including assisting in the review, testing, and implementation of HR information system upgrades or patches • Maintain HR information system tables and documents process and results • Provide technical support to HR staff and end-users, troubleshooting problems to ensure the smooth operation of HRIS systems • Provide production support including researching and resolving HR information system problems, unexpected results, or process flaws and recommend solutions or alternate methods to meet requirements • Generate reports/queries, including writing, maintaining, and supporting a variety of standard and custom reports or queries utilizing appropriate reporting tools • Maintain data integrity and oversee the accuracy, security and efficiency of recording and storing HR data using auditing and quality control processes • Conduct training with system and end users on new processes and functionality, including developing user procedures, guidelines, and documentation • Maintain awareness of current trends in HR technology with a focus on product and service development, delivery and support, and applying key technologies • Understand and comply with all applicable Company policies and rules

Role Description Our client is seeking a detail-oriented and analytical Test Analyst to join their data function, with a primary focus on testing within the data landscape. This role plays a critical part in ensuring the quality, accuracy, and integrity of data across systems, reporting platforms, and transformation processes. Working at the heart of data-driven change, you will be responsible for: - Validating data pipelines - Supporting system enhancements - Providing confidence that the data underpinning business decisions is complete, accurate, and fit for purpose You will collaborate closely with data engineers, analysts, technology teams, and business stakeholders to: - Define effective testing approaches - Execute comprehensive data validation activities - Identify and resolve issues early in the delivery lifecycle Qualifications - Strong experience in data testing, data validation, or quality assurance within a data or analytics environment - Proficient in SQL and data interrogation techniques - Solid understanding of data warehousing concepts, ETL processes, and data pipelines - Experience working with both structured and unstructured data sources - Exposure to testing tools and frameworks - Excellent attention to detail, with a strong focus on data accuracy, quality, and completeness - Ability to interpret business requirements and translate them into effective test scenarios and validation activities - Experience working within change or project environments, ideally within financial services - Strong stakeholder management skills, with the ability to collaborate effectively across technology and business teams - Awareness of data governance principles, data quality frameworks, and associated controls - Understanding of regulatory expectations relating to data (desirable) - Relevant testing certification, such as ISTQB (desirable) - Relevant data or analytics certifications (desirable) Requirements - Design and execute test plans focused on data quality, data migration, and system integrations - Validate data transformations between source and target systems, ensuring accuracy, consistency, and completeness - Develop and execute SQL-based queries to reconcile, validate, and analyse data outputs - Identify, log, and track data defects through to resolution, working collaboratively with technology and business teams - Support testing activities across data warehouses, reporting platforms, and analytics solutions - Contribute to test automation initiatives where appropriate, improving efficiency, consistency, and repeatability - Ensure data testing is embedded within project delivery and change initiatives from inception through to implementation - Provide clear and concise reporting on testing progress, issues, risks, and outcomes to key stakeholders - Support the definition, implementation, and maintenance of data quality standards and controls - Partner with business users to validate that outputs meet requirements and are suitable for operational and strategic use

• Apoiar as ações dos clientes em relação aos planos de mídia offline, tv e rádio, execução, negociação, controle e prazos. • Atender os veículos de comunicação. • Auxiliar na geração de relatórios. • Determinar materiais e encaixar espaços publicitários nas mídias. • Dar apoio na elaboração de planos de mídia. • Emitir requisições de material, Aps - Autorização de Publicação e Pis - Pedido de Inserção. • Receber e encaminhar materiais de mídia para veiculação. • Selecionar e avaliar as propostas de mídia.

• ➡ Administrar, manter e monitorar todos os bancos de dados (PostgreSQL e Oracle), garantindo disponibilidade, integridade e desempenho; • ➡ Gerenciar instalação, configuração e patching das instâncias; • ➡ Conduzir upgrades de versão e migrações de major version, antecipando-se ao fim de suporte (EOL) das versões — planejando e executando a atualização das bases (ex: PostgreSQL 14 → versão suportada) com mínima indisponibilidade e plano de rollback • ➡ Definir e operar estratégias de backup e recovery (incluindo PITR), validando restaurações periodicamente; • ➡ Implementar e manter alta disponibilidade, replicação e failover (RTO/RPO); • ➡ Conduzir capacity planning e gestão de crescimento das bases; • ➡ Revisar e autorizar mudanças de estrutura (DDL) e de dados (DML) antes de irem para produção; • ➡ Atuar como gatekeeper de qualidade em code review de SQL e migrations, bloqueando regressões antes do merge; • ➡ Garantir versionamento de schema e rastreabilidade das mudanças (ex: Flyway, Liquibase) integrados ao CI/CD; • ➡ Conduzir mudanças via GMUD, com plano de rollback e janela controlada; • ➡ Definir e acompanhar SLI/SLO de banco e atuar com base em Error Budget; • ➡ Evoluir a observabilidade dos bancos (métricas, dashboards e alertas), detectando problemas antes do cliente; • ➡ Atuar em incidentes de banco, conduzindo análise de causa raiz (RCA) e prevenção; • ➡ Realizar tuning e otimização (planos de execução, índices, queries lentas, parâmetros); • ➡ Orientar times de desenvolvimento em boas práticas de modelagem e acesso a dados; • ➡ Conduzir gestão de acessos e roles (princípio do menor privilégio); • ➡ Aplicar criptografia, masking e auditoria, protegendo dados sensíveis (aderência à LGPD); • ➡ Garantir rastreabilidade e hardening dos ambientes de banco; • ➡ Automatizar rotinas de DBA (provisionamento, manutenção, verificações), reduzindo trabalho manual e erro humano; • ➡ Utilizar IA como apoio à operação — análise de queries, diagnóstico, otimização e documentação; • ➡ Buscar continuamente "automatizar antes de repetir", evoluindo a plataforma de dado; • ➡ Aplicar boas práticas de segurança em bancos produtivos (acessos, segregação, criptografia); • ➡ Garantir rastreabilidade e auditoria de mudanças e acessos; • ➡ Proteger dados sensíveis e apoiar conformidade (LGPD, ISO 27001); • ➡ Seguir políticas de proteção de dados na manipulação de bases e migrações.