Data Analyst - Expert

• Start date: 16/11/2026
• Duration: until 30/06/2027
• Location: Brussels

Mission context

BI & Data Analyst Expert

Shape the Future of Corporate Banking Data Intelligence

We’re seeking a visionary BI & Data Analyst / Engineering Expert with a proven track record in banking transformation to lead a high-impact digital evolution. If you thrive at the intersection of business strategy, cutting-edge analytics, and technical innovation, this is your opportunity to redefine how data drives decisions for Corporate Banking’s Sales, Metiers, and Leadership teams.

Your Mission: From Legacy to Leadership

Under the (Cluster) Product Owner’s guidance, you’ll spearhead the end-to-end modernization of the BI and reporting ecosystem—transitioning from SAS/SQL, Alteryx, and JavaScript/React to a future-proof Power BI platform integrated with Microsoft Dynamics 365.

This isn’t just a migration; you won’t just build reports; it’s a strategic reinvention of how data flows, insights are delivered, and business value is unlocked.

What We’re Looking For

• A seasoned BI & Data Engineering expert with deep banking transformation experience.
• A strategic thinker who can assess legacy systems, data flows, and business needs—contributing to architecting a scalable, future-ready solution.
• A change agent who excels in guiding teams through technical transitions while ensuring business continuity and adoption.
• A collaborative leader who bridges the gap between technical execution and business vision.

Function description

1. Strategic Banking Transformation (ETL & visualisation modernisation)

• Lead end-to-end banking data transformations, with a focus on strategic planning and migration from legacy ETL workflows to Power BI-centric architectures.
• Drive adoption roadmaps for scalable, future-proof BI solutions, ensuring alignment with enterprise data governance and regulatory requirements.

2. Power BI Architecture & Team Upskilling

• Design and enforce a scalable Power BI architecture, including:
• Coaching & mentoring team members to adopt Power BI best practices (e.g., performance optimization, security, deployment strategies).
• Upskilling teams in advanced DAX development (complex calculations, time intelligence, dynamic measures) and Power Query/M (efficient data transformation, custom functions).
• Promoting reusable templates, standardized patterns, and collaborative development (e.g., shared datasets, Power BI Premium capacities).

3. Data Modeling & Analytical Framework

• Translate business requirements into optimized data models for analytics and reporting, including:
• Dimensional modeling (star/snowflake schemas) to simplify cross-platform complexity.
• Logical/physical data layer design ensuring performance, scalability, and maintainability.
• Metadata management for traceability (lineage, ownership, refresh cycles).

4. ETL Pipeline & Data Integration

• Own source-to-target mapping and ETL/ELT pipeline optimization, with expertise in:
• SAS, SQL, Denodo VQL for high-performance data extraction, transformation, and loading.
• Data quality controls (validation rules, anomaly detection, reconciliation processes).
• Seamless integration of new data sources with minimal latency and maximum reliability.

5. Documentation & Governance

• Establish and enforce documentation standards for:
• Datasets (business definitions, technical specifications, refresh policies).
• Workflows (ETL logic, Power BI reports, dependency mappings).
• Naming conventions and metadata tagging to ensure discoverability, reusability, and auditability across teams.

6. Testing, Validation & Technical Debt Reduction

• Orchestrate coexistence between legacy systems and new Power BI ecosystems during transition phases.
• Develop reusable transformation patterns and consistent business logic across workflows to minimize technical debt.
• Design test cases, validate outputs with stakeholders, and document changes for traceability.
• Proactively identify and remediate performance bottlenecks, data inconsistencies, or integration gaps.

Language requirements

Fluent knowledge of English as well as at least one local language: Dutch or French.

Education

• Master or equivalent experience.
• Strong analytical mindset.

Required experience / knowledge

• At least 5 years of relevant experience.
• Power BI stack: Advanced DAX, Power Query/M, Premium capacities, deployment pipelines, XMLA endpoints, SQL language.
• Data modeling: Star/snowflake schemas, dimensional modeling, Power BI dataflows.
• Preferred ETL tools: Alteryx, SAS, SQL, Denodo VQL, SSIS (legacy), Azure Data Factory (plus).
• Banking data experience.
• Proven experience with Agile method.

Soft skills

AGILE

Agile mindset, which implies:

• A positive attitude and pragmatism.
• Thirst for knowledge: Agile is about learning and adapting. Knowledge sharing is key to success.
• The goal of team success: Agile is about the success of the team, no individual success or heroic behavior. It is more important for the team to succeed than for the individual to have completed his/her tasks.
• There is no failure, only feedback: Agile is about taking everything as lessons, adjusting actions based on the feedback, resulting in continuous improvement.

Beyond the roles: Agile teams are cross-functional. All required disciplines are represented in the team (analysis, development, testing, …). However, although team members have a primary role representing a discipline, they are expected to take on other roles and contribute to other disciplines whenever it helps towards reaching the sprint goal.

CORE

• Drive for results – Delivers high quality work.
• Risk awareness – Demonstrates a good awareness of risk and fundamental risk concepts. Always considers risk in daily activities.
• Corporate role model, integrity & ethics – Acts with discipline and high ethical standards.
• Team player & cross-cultural awareness – Works effectively in a team. Collaborates and shares information and solutions with colleagues, other teams, and stakeholders within IT and Business.
• Client focus – Sees stakeholders as well as external clients as customers.

TECHNICAL

• Market, product & business – Is genuinely interested in financial markets and continually learning and staying abreast of new developments. Evidences a good appreciation of economics and market dynamics, with enough understanding to present views on market conditions and trends.
• Business risk – Understands the market, credit, operational, compliance, legal, regulatory, and reputational risks of work performed.

BEHAVIOUR

• Diligence – Displays dedication and prioritises problems by considering the impact on the business; identifies quick wins.
• Resilience – Stays calm and positive, controls emotions in conflict or situations of intense stress due to market, time, or client pressure.
• Communication (Active listener and clear communicator) – Communicates clearly in both native and English languages. Communicates proactively with management, escalating issues as necessary.
• Innovation – Thinks laterally to identify other sources of useful information and sees ways around obstacles and barriers.