ASAAS

Analytics Engineer

• Build and optimize data models using dbt/SQL, following development best practices and governance.
• Ensure data governance, quality, documentation, scalability, and business impact.
• Participate in discussions with business teams to understand rules and requirements.
• Work closely with software engineers to understand data structure, refresh frequency, limitations, business context, and technical specifics of data sources.
• Implement data quality tests.
• Monitor and maintain pipelines to ensure availability, performance, and integrity of data within your business domain.
• Translate business needs into solutions aligned with data platform tools and strategies.
• Provide support to the data team regarding the data platform and best practices.
• Contribute to the development of Asaas's data platform.

Analytics Engineer, Mid-level

Operations

• Identify bottlenecks, inconsistencies and opportunities for improvement through root cause analyses, developing and tracking action plans in compliance with internal and regulatory policies
• Implement improvements and monitor performance indicators to validate results
• Map, document and maintain up-to-date technical documentation for Fraud Prevention processes
• Interact with internal stakeholders to gather requirements and validate processes
• Actively contribute to and promote a culture of continuous improvement within the Fraud Prevention organization

Senior Fraud Prevention Analyst – Processes and Continuous Improvement

Learning and Development

• Structure, manage, and evaluate development and learning programs
• Design and implement initiatives focused on competencies, strategy, innovation, and future skills development for leaders
• Work autonomously based on historical data, diagnostics, and metrics
• Integrate and align leadership initiatives across the entire learning ecosystem
• Conduct needs assessments and analyze L&D and organizational performance data and indicators

Learning & Development Analyst – Mid-level

Full-stack Engineer

• Translate business logic into high-quality code, adhering to established standards and best practices
• Participate in the definition and implementation of new features and bug fixes
• Understand and discuss problems and proposed solutions, always seeking the best technical solution for encountered challenges
• Review code delivered by team members
• Break down large deliverables into small, cohesive deliverables
• Monitor the implemented solution in production, evaluating errors, performance, and availability
• Contribute to improvements or new patterns in the Engineering knowledge base

Full Stack Software Engineer – Senior

Backend Engineer

• Translate business logic into high-quality code, advocating simplicity and sound architectural practices
• Actively participate in the architecture, definition, and implementation of new features, as well as bug fixes
• Understand complex problems with limited initial definition and design robust technical solutions
• Review code delivered by team members, acting as a facilitator and raising the team's technical maturity
• Break down large deliverables into small, cohesive increments that provide continuous value
• Monitor the stability, performance, and behavior of solutions deployed to production
• Actively contribute to improvements, documentation, and new standards in the Engineering knowledge base.

Senior Full Stack Software Engineer – .NET

Product Manager

• Align customer needs with business and market interests
• Lead the squad responsible for evolving the Asaas Checkout product
• Work closely with Engineering, Design, and Data teams
• Remove obstacles and deliver large projects in small, coherent, high-value increments
• Make decisions based on data and solid evidence
• Collaborate with design, commercial, growth, software engineering, and data engineering teams
• Deliver outcomes that generate value
• Identify opportunities to drive engagement and conversion
• Contribute to the product’s strategic vision
• Ensure all company areas are consulted or informed

Product Manager – Checkout

• Act as the front line, resolving tickets and access requests (via Zendesk and Slack), ensuring short SLA response/resolution times.
• Perform critical review and validation of access requests.
• Manage the full identity lifecycle (creation, modification, deactivation, and deletion) across the company’s main tools.
• Manage access permissions and profiles, strictly enforcing the principle of least privilege.
• Identify opportunities and implement automations in access request, approval, and provisioning workflows.
• Actively support the evaluation of Proofs of Concept (PoCs) and the implementation project for the new IDM system.
• Assist in creating connectors and integrations via REST APIs.

Mid-level IT Operations Analyst – Access Management, IAM, IDM

Risk

• Implement the end-to-end data and AI governance roadmap, defining policies, standards and roles (Data Owners/Stewards), aligned with DAMA-DMBOK frameworks.
• Guide junior and mid-level analysts and Analytics Engineers in executing governance activities.
• Operate the data catalog (Unity Catalog / OpenMetadata) and manage access (RBAC), ensuring the infrastructure supports governance.
• Ensure Data and AI Governance documentation and its adoption across data-consuming teams.
• Establish observability frameworks, cost management (FinOps) in the analytics sandbox, SLAs and metrics (KPIs) to support leadership decision-making.
• Lead regulatory and privacy initiatives (BACEN, LGPD), support audits and ensure the quality and lineage of regulatory data.
• Define governance standards for predictive and generative AI, ensuring ethical and responsible use.
• Drive data literacy and the self-service BI model.

Senior Data Governance and AI Analyst

Recruitment

• Conduzir processos seletivos de alta demanda para áreas corporativas como Financeiro, Comercial, Marketing, Jurídico, People, entre outras, garantindo qualidade, agilidade e assertividade nas contratações;
• Realizar alinhamentos de perfil com lideranças, atuando de forma consultiva para desenhar estratégias personalizadas de atração e recrutamento, considerando contexto de negócio, senioridade e mercado;
• Gerenciar pipelines de alto volume com organização e eficiência, garantindo uma excelente experiência para pessoas candidatas ao longo de toda a jornada;
• Conduzir entrevistas comportamentais com olhar analítico, avaliando fit cultural, potencial e aderência aos valores e desafios da companhia;
• Apoiar lideranças na tomada de decisão por meio de dados, benchmarks de mercado e recomendações estratégicas de contratação;
• Monitorar, analisar e evoluir indicadores de Talent Acquisition (funil, SLA, conversões, qualidade de contratação), propondo melhorias contínuas baseadas em dados;
• Atuar de forma próxima às áreas parceiras, fortalecendo o ciclo completo de contratação e a experiência dos stakeholders;
• Liderar e implementar iniciativas de automação em recrutamento, otimizando processos, reduzindo esforços manuais e aumentando a eficiência operacional do time;
• Explorar e aplicar soluções de Inteligência Artificial (IA) no processo de Talent Acquisition, como triagem automatizada, análise de perfis, geração de insights e melhoria da experiência de candidatos e dos nossos clientes internos;
• Identificar oportunidades de melhoria e ganho de escala por meio de tecnologia, dados e automações, contribuindo para a evolução do modelo de recrutamento da área;

Senior Talent Acquisition – Corporate, End-to-End, IA & Dados

Analyst

• Elaborar a previsão diária e semanal de caixa, consolidando movimentações operacionais de pagamentos como insumo de liquidez para a liderança;
• Analisar e explicar desvios entre orçado e realizado nas movimentações de caixa, subsidiando decisões com visibilidade estruturada;
• Manter e evoluir o modelo de forecast, incorporando sazonalidades, eventos não-recorrentes e mudanças no perfil de pagamentos;
• Calcular e publicar os KPIs da área: eficiência de pagamentos, índice de atraso, prazos médios de aprovação e outros indicadores operacionais;
• Garantir disponibilidade de caixa para liquidação dos pagamentos aprovados, gerar as remessas e transmitir aos bancos parceiros.
• Contribuir com especificações para a evolução das automações de pagamento;
• Atuar como ponto focal técnico do squad em ERP financeiro, apoiando a evolução do sistema atual e participando ativamente da transição para o novo ERP corporativo (especificação de requisitos, testes e integrações);
• Apoiar a integração financeira de empresas adquiridas (M&A), quando aplicável: mapeamento de processos da área, padronização de cadastros e migração para o ERP central.

Analista de Tesouraria Pleno

• Provide prompt support to our customer base via email, phone, and WhatsApp, with intensive use of the Zendesk platform
• Monitor and organize requests in our systems, ensuring transparency
• Handle a high volume of daily requests, applying strong prioritization skills
• Process policies, endorsements, and invoices with attention to detail
• Provide operational support for the company's collections management and team routines

Operations Assistant

• Analyze operational performance and identify significant deviations that impact efficiency
• Build tactical and strategic dashboards for clear visualization of KPIs
• Identify bottlenecks and continuous improvement opportunities in the customer support operation
• Support area leadership with structured analyses and actionable recommendations
• Cross-reference data from different sources to generate a holistic, more complete view of the situation

CX Performance Analyst, Mid-level

Attorney

• Lead end-to-end analyses (descriptive, diagnostic and predictive) on legal/regulatory and strategic topics;
• Create, monitor and evolve KPIs for the Regulatory & Strategic Operations, Legal, Compliance, Ombudsman and Risk & Internal Controls areas;
• Develop interactive dashboards and management reports using Business Intelligence tools (such as Power BI, Databricks, Metabase or similar) to support strategic decision-making;
• Contribute to the evolution of our data catalog together with the Analytics Engineering team;
• Lead projects and initiatives to automate processes, increasing efficiency and reducing operational risks;
• Work on regulatory and corporate projects, turning data into actionable insights to support business decisions and ensure regulatory compliance;
• Translate complex information into clear, accessible and strategic analyses for different company stakeholders;
• Support leadership in setting priorities, tracking strategic indicators and advancing the area’s efficiency and innovation plan.

Data Analyst, Mid-level

• Ensure the maintenance, identify improvements, and execute activities related to OKRs, strategic projects, and the organization’s metrics rituals.
• Collaborate with the Career & Performance team to ensure alignment of cycles with performance and the company’s strategic objectives.
• Deliver training and engagement initiatives for leadership, and facilitate and organize OKR rituals.
• Promote the ongoing maintenance and continuous development of the OKR champions program.
• Perform data and metrics analysis, prepare reports and L&D/Performance mappings to identify needs and propose and implement development projects aligned with company strategy.

Senior Management and Performance Analyst, OKRs

• Governance and Rituals: Define and evolve essential rituals such as Design Reviews and Design Critiques, ensuring the product's evolution follows quality standards.
• Process Standardization: Design, implement and iterate workflows that connect Design to the Product and Engineering lifecycle, eliminating communication and delivery bottlenecks.
• Onboarding Excellence: Structure and manage the onboarding process for new designers, ensuring they become able to contribute quickly.
• Documentation and Knowledge Management: Centralize the chapter's documentation in Confluence, keeping guides, playbooks and processes always up to date.
• Technical Documentation: Collaborate on documenting guidelines, component behaviors and best practices for using the Design System, ensuring information is accessible and clear for designers and developers.
• Success Metrics: Create and track KPIs for the design team's efficiency and the health of the operation.
• Team Support: Act as the focal point for questions about tools (e.g., Figma, Jira, etc.), the use of Design System components and internal processes.