Data Business Analyst

We are looking for a Business Analyst to join our Transversal Development Squad and play a key role in the analysis, specification, design, and rollout of a strategic Data Factory framework. In this position, you will work closely with Product Owners, Data Engineers, Developers, and Business Stakeholders, translating business requirements into scalable and high-quality data solutions.

Key Responsibilities

• Gather, analyse, and document requirements from business stakeholders, data owners, and regulatory teams.
• Translate business needs into detailed functional specifications, including user stories, acceptance criteria, process flows, and data models.
• Produce and maintain project documentation, such as requirements catalogues, data dictionaries, test plans, and process maps.
• Support testing activities by defining functional test scenarios and validation criteria.
• Facilitate communication with stakeholders through sprint reviews, demonstrations, status updates, and workshops.
• Identify opportunities to enhance the Data Factory framework and propose continuous improvements.
• Collaborate closely with ETL and Data Engineering teams to design efficient data flows and transformation processes.
• Define, implement, and maintain data quality standards, controls, validation rules, and monitoring mechanisms.
• Ensure traceability between business requirements, technical implementations, and delivery outcomes.

Required Skills & Experience

• Strong understanding of the financial services and banking sector.
• Experience gathering and managing business requirements in complex, data-driven environments.
• Knowledge of data governance, data quality, and data management principles.
• Familiarity with data migration, data consolidation, and large-scale data aggregation initiatives.

Technical Skills

• Experience working with Agile delivery methodologies.
• Hands-on experience with Jira, Azure DevOps, or similar project management and backlog management tools.
• Ability to manage user stories, requirements traceability, and collaboration between business and technical teams.
• Good understanding of relational databases and data modelling concepts.
• Proficiency in SQL, preferably within Oracle environments.
• Working knowledge of PL/SQL.
• Understanding of ETL processes, data pipelines, and data integration architectures.

Languages

• Portuguese: Native or Fluent
• English: Advanced level (C1/C2), both written and spoken
• French: Nice to have