Paschoalotto

Data Analyst

• Definir e evoluir a estratégia de mensuração digital (web e app), alinhada aos objetivos de Produto e Negócio
• Estruturar e manter a event taxonomy, garantindo padronização e escalabilidade
• Organizar, documentar e governar a data layer (informações para ferramentas como GA4, GTM, pixels etc.), assegurando consistência e qualidade dos dados
• Atuar como referência técnica em boas práticas de tracking e governança de dados
• Garantir conformidade com LGPD, consentimento e políticas de privacidade
• Configurar, auditar e otimizar ferramentas como GA4, GTM (web e app), Firebase, Clarity, PostHog, Hotjar e similares
• Implementar e validar eventos, parâmetros, conversões e integrações com pixels (Meta, Google Ads etc.)
• Realizar QA contínuo utilizando DebugView, Tag Assistant e outras ferramentas de validação
• Identificar e corrigir inconsistências de tracking antes que impactem análises estratégicas
• Apoiar integrações via APIs quando necessário
• Conduzir análises de funil, jornada, retenção, conversão, churn e LTV
• Desenvolver dashboards executivos e operacionais (Looker Studio, Power BI, Tableau)
• Definir e acompanhar KPIs e OKRs junto às áreas parceiras
• Realizar análises exploratórias e diagnósticos de performance
• Transformar dados em insights acionáveis, orientando decisões estratégicas de Produto e Marketing
• Atuar ativamente em Discovery, levantando hipóteses baseadas em dados
• Apoiar desenho, mensuração e análise de testes A/B
• Traduzir dados em recomendações claras para evolução da experiência do usuário
• Trabalhar de forma integrada com Produto, UX, Tech, Marketing e Negócio
• Construir narrativas executivas (data storytelling) para diferentes níveis da organização
• Apoiar decisões estratégicas com base em evidências, destacando limites e premissas dos dados
• Ser referência técnica e consultiva em temas de analytics dentro da squad
• Antecipar riscos e oportunidades de melhoria na mensuração digital
• Propor evoluções de tracking e novas ferramentas quando necessário
• Manter-se atualizado sobre tendências de analytics, privacidade, IA e ambiente cookieless
• Contribuir para a maturidade data-driven do time e da empresa.

Analista de Analytics Digital

Product Designer

• Interpretar e entender as expectativas e dores que as pessoas têm em relação à interação delas com o produto Pagou Fácil;
• Auxiliar a realizar pesquisas com usuários, bem como preparar, documentar e apresentar os resultados das investigações e pesquisas para os steakholders;
• Conhecimento em criação de personas, journey maps e mapas de empatia e demais ferramentas de definição e validação;
• Trazer referências de boas práticas de mercado, estudos sobre o comportamento do usuário, inovação e tendências;
• Trabalhar em estreita colaboração com o cliente do projeto para traduzir os requisitos de negócio em experiências interativas inovadoras;
• Ajudar a manter a consistência de comunicação e experiência digital entre as diversas iniciativas / squads / projetos;
• Auxiliar o trabalho de pesquisa, no recrutamento, entrevistas e consolidar os resultados em relatórios e apresentações;
• Identificar problemas de usabilidade e a criar hipóteses e testes para a solução desses problemas;
• Acompanhar testes e validar a relevância de novas funcionalidades, serviços e soluções para os consumidores;
• Aumentar a satisfação dos usuários (NPS);

UX/UI Designer

Marketing

• Plan, set up, launch and optimize paid media campaigns (Google Ads, Meta Ads, TikTok Ads and other channels).
• Define objectives, KPIs and performance targets by campaign, channel and city.
• Ensure strategic audience targeting and efficient use of budget.
• Run continuous A/B tests (creatives, copy, audiences, landing pages and formats).
• Analyze seasonality, economic context and user behavior to inform strategic adjustments.
• Build, maintain and evolve performance, funnel, conversion and journey dashboards.
• Be proficient with GA4, analyzing events, conversions, funnels and user behavior.
• Work on tagging and measurement of events and conversions, ensuring reliable data across the user journey.
• Use Google Tag Manager (GTM) for creating, validating and maintaining tags.
• Identify measurement gaps, inconsistencies and opportunities to improve tracking.
• Ensure governance, quality and reliability of the data used in analyses.

Traffic and Performance Analyst – Marketing

Software Engineer

• Requirements Analysis: Identify and document user and client needs to request development or to develop solutions that meet those needs.
• Development in the Senior Programming Language (LSP*): Perform customizations in HCM Senior, ensuring solutions meet the requirements of the business areas.
• Implementation: Design and test new or existing systems.
• Maintenance and Support: Perform ongoing system maintenance to fix issues, keep systems up to date, improve functionality, and ensure operational efficiency.
• Testing and Quality: Conduct tests to ensure systems operate correctly and meet the specified requirements.
• Documentation: Create and maintain detailed technical documentation to facilitate understanding and use of systems by other team members.
• Training and User Support: Provide training and support to end users to ensure they can use the systems effectively.
• Project Management: Coordinate and manage development or system implementation projects, ensuring they are completed within established timelines and budgets.

Programmer – HCM Senior

Full-stack Engineer

• Strong experience with C# and .NET Core in developing data pipelines, data APIs, and integrations.
• Expertise in building ETL/ELT processes with a focus on performance, scalability, and maintainability.
• Proven track record working with high data volumes and environments with critical performance requirements.
• Experience with relational databases (SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Redis).
• Knowledge of messaging systems (e.g., Kafka, RabbitMQ) and asynchronous processing.
• Familiarity with orchestration tools (Airflow, Azure Data Factory, etc.).
• Best practices in version control, deployment automation, and CI/CD pipelines (Git, Azure DevOps).
• Experience with data security, encryption, anonymization, and compliance with LGPD/GDPR.

Tech Lead, Data

Data Engineer

• Design, develop, and maintain efficient and reliable data pipelines.
• Create integrations between heterogeneous systems and data stores (structured and unstructured).
• Perform cleansing, transformation, and modeling of large volumes of data.
• Implement event-driven solutions and real-time processing.
• Ensure data quality, integrity, and availability.
• Work closely with data analysts, software engineers, and architects to build scalable and secure solutions.
• Automate tasks and promote observability across ingestion, processing, and data delivery processes.
• Support data architecture and governance definition.
• Work with distributed processing systems such as DataProc, DataFlow, Databricks, Spark, and Hadoop;
• Integrate with APIs and external data sources;
• Use MLOps tools such as Kubeflow, MLflow, AutoML, and Azure ML;

Product Manager

• Customer focus: responsible for understanding the needs and expectations of customers and stakeholders.
• Backlog management: responsible for maintaining and prioritizing the product strategy backlog, ensuring it is always up to date and that the most important tasks are at the top.
• Defining product goals and vision: work with stakeholders to define the product vision and clear goals, ensuring the team is aligned with objectives.
• Making quick, informed decisions: make daily decisions about what should be developed, based on up-to-date market information, customer feedback, and product performance metrics.
• Metrics and performance analysis: monitor product performance through metrics and data, adapting the strategy as needed.
• Act strategically in the evolution of digital products, ensuring alignment with business objectives and the company’s long-term vision.
• Continuously monitor market trends, innovations, and competitor moves, bringing actionable insights to the product roadmap.
• Identify, evaluate, and maintain relationships with potential strategic partners, supporting decision-making around integrations, new solutions, and business opportunities.
• Actively contribute to pricing decisions, business models, and negotiations with partners and suppliers, together with the relevant areas.
• Evaluate and ensure the scalability of features, considering user growth, performance, technical sustainability, and financial impact.
• Collaborate with UX, technology, business teams, and external partners, promoting data- and results-driven decisions.
• Ensure clear documentation of requirements, business rules, and strategic decisions, supporting governance and efficient execution.