> Markdown version of [/jobs/ext/3157326-senior-data-analyst-banking-brussels](https://www.wearedevelopers.com/jobs/ext/3157326-senior-data-analyst-banking-brussels). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Analyst - Banking - Brussels

- **Company:** Talencia Consulting
- **Location:** Brussel, Belgium (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Big Data, Databases, Customer Data Management, Data Mining, Data Presentation, Data Warehousing, Database Analysis, Database Development, Database Storage Structures, Standard Sql, Technical Data Management Systems, Freeform SQL, Star Schema
- **Published:** September 12, 2026
- **Apply:** https://www.careerjet.be/jobad/bed7e8fd580664ec8c446dfaa3cb46bc0d

## About the Role

* 5-7+ years of experience as a Data Analyst or in a similar data-focused role.
 * Mandatory experience in the banking sector.
 * Excellent / expert-level SQL skills - mandatory. This is a hands-on role involving real SQL development, not only data analysis.
 * Strong experience with relational and dimensional data modelling.
 * Good understanding of Star Schema and Snowflake Schema concepts.
 * Experience working with large and complex datasets.
 * Strong analytical and problem-solving skills.
 * Excellent communication and presentation skills.
 * Outgoing, dynamic and comfortable interacting with different stakeholders.
 * Able to explain complex technical and data concepts to non-technical audiences.
 * Fluent in English + French or Dutch.

## Description

As a Senior Data Analyst, you will join a banking data team and play a key role in transforming complex datasets into reliable business insights.
This is a strongly technical Data Analyst position, with a major focus on SQL development, data extraction and database modelling. The successful candidate will be comfortable working hands-on with large datasets and designing robust data models in a banking environment., * SQL Development: Write and optimize complex SQL queries to extract, transform, clean and analyze large volumes of financial and customer data.

 * Data Modelling: Design, develop and maintain relational and dimensional data models adapted to banking requirements.
 * Database Analysis: Analyze existing database structures, identify data relationships and ensure data quality and consistency.
 * Data Analysis: Investigate complex datasets and translate them into meaningful business insights.
 * Business Intelligence: Translate business requirements into relevant analyses, reports and dashboards for both management and operational teams.
 * Stakeholder Collaboration: Work closely with business and technical stakeholders to understand requirements and communicate findings clearly.
 * Data Storytelling: Present complex data and analytical results in a clear and accessible way to both technical and non-technical audiences.