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

Data Business Analyst

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