Senior Business Analyst – Data Architecture

At Ayesa Digital, we grow with you

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

Every professional in our company is vital to us. Thanks to their talent, we continue to expand;
today, we are a global team of over 11,000 people working toward a common goal.

Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive science and innovation. These are strategic technological projects based on collaborative initiatives that stand out for their international focus and a strong commitment to socially oriented results.

An international project focused on the evolution and operation of a large-scale portfolio of digital solutions supporting complex business processes, including procurement, programme management, and data analytics.

The scope covers the full digital solution lifecycle, from design and development to deployment, operations, and continuous improvement, leveraging cloud environments and Agile/DevSecOps practices.

This is a highly technical and innovative environment, focused on scalable, secure, and data-driven architectures, with strong emphasis on interoperability, service quality, and compliance with European standards in security and data protection

If you are an enthusiastic professional looking for a new career challenge, this is your place. We are looking to incorporate a Senior Business Analyst – Data Architecture & Data Modelling (BA2). Leap — we are waiting for you

What You Will Do (Responsibilities):

• Lead business analysis activities across complex enterprise and international digital transformation programmes.
• Gather, analyse, validate and document business requirements, ensuring alignment between business objectives and technical solutions.
• Facilitate workshops and stakeholder engagements to elicit, prioritise and validate business needs.
• Conduct gap analysis and identify opportunities for process optimisation and business improvement.
• Define functional specifications and translate business requirements into clear, actionable technical requirements.
• Ensure end-to-end traceability between business requirements, functional specifications, development activities and delivered solutions.
• Perform data analysis and contribute to data modelling activities supporting reporting, analytics and decision-making processes.
• Design and document business processes, workflows and information flows using recognised modelling methodologies.
• Create and maintain diagrams, models and documentation using UML, BPMN and other business analysis standards.
• Collaborate with business stakeholders, solution architects, data architects, developers, testers and project managers throughout the solution lifecycle.
• Support validation, testing and acceptance activities to ensure delivered solutions meet business expectations.
• Promote business analysis best practices, standards and methodologies across the project environment.

Additional Responsibilities

• Analyse existing data models and identify opportunities for harmonisation, rationalisation and standardisation.
• Design target-state conceptual, logical and physical data models aligned with business and analytics requirements.
• Support the definition of enterprise data architecture frameworks and data migration roadmaps.
• Collaborate with data architects, BI specialists, data engineers and governance teams.
• Document data flows, business rules, lineage, metadata and information architecture artefacts.
• Participate in data governance, metadata management, master data management and data quality initiatives.
• Contribute to enterprise-wide data architecture and information management strategies.

What We Are Looking For (Requirements):

• At least 3 years of higher education (degree or equivalent) and a minimum of 9 years of postsecondary professional experience.
• At least 6 years of experience as a Business Analyst in IT, digital transformation, data architecture, or enterprise information management environments.
• Strong experience in requirements elicitation, requirements management, gap analysis, business process analysis and functional specification definition.
• Demonstrated ability to translate business needs into functional and technical requirements in complex enterprise environments.
• Strong hands-on experience in enterprise data modelling, including conceptual, logical and physical data models.
• Proven experience with Data Warehouse design, dimensional modelling, data architecture documentation and analytical data environments.
• Proficiency in business and process modelling techniques and tools, including UML, BPMN, Microsoft Visio, Lucidchart or