Talencia Consulting - Senior Data Analyst - Banking
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Summary
A consultancy placement for a Senior Data Analyst joining a banking client's data team in Brussels. The role is hands-on: writing complex SQL, designing relational and dimensional data models, and turning large financial datasets into reports, dashboards, and insights for stakeholders.
Talencia is looking for an experienced senior Data Analyst for one of its banking clients in brussels.
Location: Brussels
Start Date: ASAP
Duration: 6 months + extension, potentially until end of 2027
Working Mode: Hybrid / partially remote
Languages: English + French or Dutch
Sector: Banking - mandatory
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.
Location: Brussels
Start Date: ASAP
Duration: 6 months + extension, potentially until end of 2027
Working Mode: Hybrid / partially remote
Languages: English + French or Dutch
Sector: Banking - mandatory
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.
Key responsibilities
- 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.
Profile
- 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.