Data Analyst

Data Analyst (Expert) - BNP Paribas Fortis

Dates: 2026-11-16 — 2027-06-30

Arrangements: No travel required. Work regime and remote/hybrid arrangements not specified.

BNP Paribas Fortis seeks a BI and Data Analyst / Engineering Expert for its Transformation Office. The mission supports Corporate Banking’s Sales, Metiers and Leadership teams. It aims to modernise data intelligence and strengthen the way data supports business decisions.

The expert will coach colleagues in Power BI practices, advanced DAX and Power Query/M. Governance, documentation, quality controls, testing and coexistence with legacy systems are central to the transition. The assignment runs in Brussels from 16 November 2026 to 30 June 2027, with no travel required.

Top Reasons to Apply

Lead banking transformation

Integrate Dynamics 365

Responsibilities

• Lead banking data transformations, including strategic planning and migration from legacy ETL workflows to Power BI-centric architectures.
• Drive BI adoption roadmaps for scalable solutions aligned with enterprise data governance and regulatory requirements.
• Design scalable Power BI architecture and enforce its implementation.
• Coach team members in Power BI best practices, including performance optimisation, security and deployment strategies.
• Upskill teams in advanced DAX, including complex calculations, time intelligence and dynamic measures, and Power Query/M, including efficient transformations and custom functions.
• Promote reusable templates, standardised patterns and collaborative development, including shared datasets and Power BI Premium capacities.
• Translate business requirements into optimised analytical and reporting data models.

Must Have

• Five years relevant experience
• Master or equivalent experience
• Strong analytical mindset
• Dutch or French fluency
• Advanced Power BI stack
• Advanced Power Query/M
• Advanced DAX development skills

Nice to Have

• Alteryx ETL tool experience
• SAS ETL tool experience
• SQL ETL tool experience
• Legacy SSIS tool experience

Detailed Responsibilities and Skills

Additional Responsibilities

• Apply dimensional modelling using star/snowflake schemas to simplify cross-platform complexity.
• Design logical and physical data layers for performance, scalability and maintainability.
• Manage metadata for traceability, including lineage, ownership and refresh cycles.
• Own source-to-target mapping and ETL/ELT pipeline optimisation.
• Extract, transform and load data using SAS, SQL and Denodo VQL.
• Implement data quality controls, including validation rules, anomaly detection and reconciliation processes.
• Integrate new data sources with minimal latency and maximum reliability.
• Establish documentation standards and enforce their use.
• Document datasets with business definitions, technical specifications and refresh policies.
• Document workflows with ETL logic, Power BI reports and dependency mappings.
• Standardise naming conventions and metadata tagging for discoverability, reusability and auditability across teams.
• Orchestrate legacy-system coexistence with the new Power BI ecosystem during transition phases.
• Develop reusable transformation patterns and consistent business logic across workflows to minimise technical debt.
• Design test cases for validation.
• Validate outputs with stakeholders.
• Document changes for traceability.
• Identify and remediate performance bottlenecks, data inconsistencies and integration gaps.
• Required: At least 5 years of relevant experience
• Required: Master’s degree or equivalent experience
• Required: Strong analytical mindset
• Required: Fluent Dutch or French; at least one local language is required, not both
• Required: Positive attitude and pragmatism within an Agile mindset
• Required: Learn, adapt and share knowledge
• Required: Prioritise team success over individual completion or heroic behaviour
• Required: Use feedback as learning and adjust actions for continuous improvement
• Required: Contribute across analysis, development, testing and other roles whenever needed to achieve sprint goals
• Required: Deliver high-quality work and drive results
• Required: Understand fundamental risk concepts and consider risk in daily activities
• Required: Act with discipline, integrity and high ethical standards as a corporate role model
• Required: Collaborate effectively and share information and solutions across cultures, teams, IT, Business and stakeholders
• Required: Treat internal stakeholders and