Senior IT Analyst for Credit Data Sourcing

An opportunity for a Senior IT Analyst to join a team based in Poland within the financial services sector, specifically banking. The role involves working in complex IT environments and requires master-level skills in requirements management.

• Proven experience as a senior‑level IT Analyst in complex IT environments.
• Track record of independently driving requirements management in initiatives involving multiple stakeholders and systems.
• Master‑level skills in requirements management, including elicitation, documentation, validation and lifecycle management.
• Experience working in large‑scale, regulated organizations (e.g. finance, banking, risk, credit domains) is strongly preferred.
• Ability to translate business needs into clear, structured, and testable requirements suitable for development and testing teams.
• Experience documenting and explaining data lineage, data models, and system interactions to both technical and non‑technical audiences.
• Confident use of Requirements Management Standards and Frameworks, and ability to adapt them pragmatically to context.
• Excellent ability to communicate complex topics clearly and simply to a wide range of stakeholders (business, IT, vendors).
• Ability to facilitate discussions, drive consensus and enable decision‑making without formal authority.
• Experience working in agile environments (e.g. SAFe).
• Proactive mindset, strong ownership and alignment with company values.

Nice to have:

• Experience in financial services / banking / risk / credit domains.
• Knowledge of structured analysis techniques (e.g. BPMN, UML, data modeling).

• Drive end‑to‑end requirements management in complex initiatives with multiple stakeholders.
• Translate business needs into clear, structured, and testable requirements.
• Collaborate closely with business, IT, architects and development teams.
• Support solution design by understanding systems, data flows and integrations.
• Act as a trusted advisor for stakeholders, enabling alignment and informed decisions.
• Contribute to continuous improvement of ways of working and analysis practices.