Data Business Analyst

act digital; Lisboa; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

act digital in Lisboa seeks a Business Analyst to join the Transversal Development Squad and drive analysis, specification, design, and rollout of a strategic Data Factory framework. You will work closely with Product Owners, Data Engineers, Developers, and Business Stakeholders, translating business requirements into scalable data solutions.

Responsibilities include gathering requirements, creating user stories, data models, and test plans, and ensuring traceability from business needs to

Qualifications

• 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.

Responsabilités

• Gather, analyse, and document requirements from business stakeholders and data owners.
• Translate business needs into detailed functional specifications, including user stories and data models.
• Produce and maintain documentation such as data dictionaries and test plans.
• Support testing by defining functional test scenarios and validation criteria.
• Facilitate communication with stakeholders through sprint reviews and workshops.
• Identify opportunities to enhance the Data Factory framework and propose improvements.
• Collaborate with ETL and Data Engineering teams on data flows and transformations.
• Define and maintain data quality standards, controls, and monitoring.

Connaissances

Financial services domain knowledge

Requirements gathering

Data governance and quality

Data migration and consolidation

Outils

Jira

Azure DevOps

SQL

PL/SQL

Oracle

ETL

Description du poste

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