Senior Data Analyst: DBT, Power BI & Fabric Lead

Pauwels Consulting; Antwerpen; Hybride; EUR 78 000 - 100 000; Plein temps

Avantages offerts par ce poste

Hybrid work (2 days onsite)

Résumé du poste

Pauwels Consulting is assisting a client in the insurance sector to hire a Senior Data Analyst in Antwerp. You will design scalable data models and semantic layers, and drive self-service analytics by building robust data solutions.

The role requires leadership in data modeling, collaboration with engineers and business stakeholders, and mentoring the analytics team. Hybrid work with at least two days onsite, ASAP start, for a 6‑month engagement.

Qualifications

• 8+ years in senior data roles (Data Analyst or Analytics Engineer).
• Advanced production experience with DBT (modeling, testing, documentation).
• Expert-level SQL for complex data manipulation and analysis.
• Extensive Power BI experience, building datasets and semantic models.
• Strong dimensional modeling knowledge (facts and dimensions).
• Experience with Microsoft Fabric or similar modern data platforms.
• Knowledge of Git, data contracts and CI/CD in Agile/Scrum.
• Strong analytical and stakeholder management with ownership mindset.
• Fluent in Dutch and English.

Responsabilités

• Lead design and construction of scalable data models and semantic layers.
• Translate business needs into consistent, scalable data models.
• Design robust dimensional models within the gold layer using DBT.
• Establish and enforce standards for data modeling, docs, naming, versioning.
• Integrate diverse data sources into coherent, high-quality models.
• Partner with data engineers and stakeholders to bridge tech and business.
• Coach and mentor the team to raise technical maturity.

Outils

DBT

SQL

Power BI

Microsoft Fabric

Git

CI/CD

Agile

Description du poste

Pauwels Consulting is assisting a client in the insurance sector to hire a Senior Data Analyst in Antwerp. You will design scalable data models and semantic layers, and drive self-service analytics by building robust data solutions.

The role requires leadership in data modeling, collaboration with engineers and business stakeholders, and mentoring the analytics team. Hybrid work with at least two days onsite, ASAP start, for a 6‑month engagement.