• Atuar de forma consultiva junto aos clientes internos e demandantes, realizando o levantamento, entendimento e detalhamento das necessidades de negócio, traduzindo-as em requisitos analíticos e soluções orientadas a dados; • Gerenciar e organizar o backlog de demandas analíticas e de dados, conduzindo sessões de refinamento, priorização e alinhamento contínuo com as áreas de negócio e times técnicos; • Desenvolver, processar e analisar grandes volumes de dados utilizando **Databricks**, garantindo desempenho, escalabilidade, segurança e confiabilidade das informações; • Implementar e assegurar o cumprimento das políticas, normas e boas práticas de **Governança de Dados**, incluindo qualidade, rastreabilidade, padronização e segurança da informação; • Contribuir ativamente para a melhoria contínua dos processos de dados, propondo otimizações técnicas e metodológicas; • Explorar, avaliar e aplicar novas abordagens analíticas, tecnologias emergentes e tendências de mercado relacionadas a dados, analytics e engenharia de dados; • Atuar de forma colaborativa em ambientes ágeis, apoiando a tomada de decisão estratégica por meio de análises consistentes e insights relevantes.

• Partner with Operations, Product Management, and leadership teams to define success metrics, evaluate operational performance, and influence servicing strategy through data-driven insights • Build and maintain scalable dashboards, reporting frameworks, and business review materials that enable self-service analytics across Operations teams • Diagnose changes in borrower and operational performance metrics by conducting root cause analyses and identifying actionable recommendations • Lead analytical support for product experiments and operational initiatives, including measurement design, performance evaluation, and strategic recommendations • Identify opportunities to improve operational efficiency and borrower outcomes by connecting insights across servicing workflows, agent performance, and payment behaviors • Translate complex analytical findings into clear business narratives for senior stakeholders, including regular presentations to leadership audiences

• Manage the full-cycle recruitment process for technical and non-technical roles up to G7 level, ensuring high-quality hires and alignment with business needs. • Partner closely with Hiring Managers and People Business Partners to define hiring strategies, evaluation criteria, and ensure a seamless calibration through kickoff meetings. • Develop and implement innovative sourcing strategies to build diverse talent pipelines and improve overall hiring effectiveness. • Drive a positive candidate experience by maintaining transparent communication, providing timely feedback, and acting as a professional brand ambassador for Wellhub. • Analyze recruitment metrics and data to identify bottlenecks, optimize processes, and formally propose improvements to increase the TA function's efficiency. • Ensure compliance with global labor laws, internal SLAs, and data accuracy (cost centers, candidate stages, and budget alignment) within our ATS (Greenhouse). • Promote diversity, equity, and belonging by proactively sourcing from underrepresented groups and mitigating biases throughout the selection process. • Collaborate with cross-functional teams (People Ops, OD&B) to ensure smooth onboarding and contribute to employer branding initiatives. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Apoiar a construção e manutenção de pipelines de dados (ETL/ELT); • Realizar consultas, análises e manipulação de dados utilizando SQL; • Desenvolver scripts em Python para tratamento, transformação e integração de dados; • Consumir APIs para integração de informações entre sistemas; • Apoiar iniciativas de organização, padronização e qualidade de dados; • Trabalhar em conjunto com times de dados, tecnologia e negócio na construção de soluções analíticas; • Utilizar versionamento de código e aplicar boas práticas de desenvolvimento.