Business Analyst IT - Financial Services

This role requires a candidate with a strong background in business administration, finance, economics, computer science, engineering, or related disciplines, holding at least a University (Master) Degree Level 7 in the European Qualifications Framework (EQF) or an equivalent academic degree. Fluency in English (speaking, reading, and writing) is mandatory.

Missions

• Produce DWH-ready functional specifications including required input fields, source-to-target mappings, transformation and calculation logic, historisation/time-dimension rules, enrichment rules, and acceptance criteria for data controls.

• Document end-to-end data flows and lineage (Source → Staging → Transformation → DWH → Reporting/Workiva), ensuring field-level traceability and impact analysis for changes.

• Deliver metadata and data governance components such as ownership models (Owner/Provider/Approver), glossary terms, golden-source identification, and complete catalogue templates used by data governance tools.

• Engineer data quality rules from business definitions (completeness, validity, consistency, timeliness, reconciliation) with clear tolerance/thresholds, exception routing, and precise business requirements for DWH/DQ-engine implementation.

• Perform functional data testing on DWH deliveries, including source-to-target reconciliation, re-performance of calculations, verification of data quality controls, defect logging, and retest evidence.

• Apply Agile business analysis practices (user stories, acceptance criteria, backlog refinement with IT and data owners) demonstrated in financial-services projects.

• Translate sustainability regulatory contexts (CSRD/ESRS, EU Taxonomy, Pillar 3 climate topics) and BCBS239 data governance principles into data and controls requirements.

• Utilize advanced Excel for data dictionaries and mappings, PowerPoint for flows and lineage, and read SQL to validate logic and data extracts.

Tools & Environment

• Advanced Excel for data dictionaries and mappings

• PowerPoint for flowcharts and lineage documentation

• SQL for logic validation and data extraction

• Workiva platform integration knowledge

• Data governance tools for metadata and lineage management

• Agile methodologies for business analysis

• Familiarity with sustainability regulatory frameworks (CSRD/ESRS, EU Taxonomy)

• Exposure to Denodo or similar virtualization platforms (preferred)

• Data quality engines for operationalizing BA-defined rules and controls (preferred)

Working Conditions

• Experience in sustainability reporting implementation projects is an advantage.

• BA certifications (e.g., IIBA-CBAP/CCBA, BCS BA) or Agile certifications (PSM/PO, AgilePM) are a plus.

1. At least University (Master) Degree Level 7 in the European Qualifications Framework (EQF), or equivalent academic degree, in business administration (esp. finance), economics, computer science, engineering or any related discipline
2. Fluency in speaking, reading and writing in English
3. Minimum 5 years experience producing DWH‑ready functional specifications including required input fields, source‑to‑target mappings, transformation & calculation logic, historisation/time‑dimension rules, enrichment rules, and acceptance criteria for data controls
4. Hands‑on documentation of end‑to‑end data flows and lineage (Source → Staging → Transformation → DWH → Reporting/Workiva), including field‑level traceability and impact analysis for changes
5. Metadata & data governance delivery: ownership model (Owner/Provider/Approver), glossary terms, golden‑source identification, and completion of catalogue templates used by data governance tools
6. Data Quality rule engineering from business definitions (completeness, validity, consistency, timeliness, reconciliation), with clear tolerance/thresholds and exception routing and exact business requirements for DWH/DQ‑engine implementation
7. Functional data testing experience on DWH deliveries: source‑to‑target reconciliation, re‑performance of calculations, verification of DQ controls, defect logging and retest evidence
8. Agile BA practice (user stories, acceptance criteria, backlog refinement with IT & data owners) demonstrated in financial‑services projects
9. Working knowledge of sustainability regulatory contexts (CSRD/ESRS, EU Taxonomy, Pillar 3 climate topics) and BCBS239 data governance principles sufficient to translate reporting needs into data/controls requirements
10. Strong tool fluency for BA deliverables: advanced Excel (data dictionaries, mappings), PowerPoint (flows/lineage), and ability to read SQL (to validate logic/data extracts)
11. Preferred: Direct BA experience on CSRD/ESG implementations (e.g., Sustainability Report, EU Taxonomy metrics) with data points consolidated into a DWH
12. Preferred: Experience specifying or validating Workiva ↔️ DWH integrations (field lists, formats, refresh cadence, reference data alignment)
13. Preferred: Exposure to Denodo (or similar virtualization) and data governance platforms for lineage and metadata population
14. Preferred: Familiarity with DQ engines used to operationalise BA‑defined rules and controls
15. Preferred: BA certifications (e.g., IIBA‑CBAP/CCBA, BCS BA) or Agile certifications (PSM/PO, AgilePM)
16. Experience with sustainability reporting implementation projects is an advantage