Senior Data Analyst

DICE - Data Intelligence Community Experts; Brussel Hoofdstad; Sur place; EUR 45 000 - 65 000; Plein temps

Avantages offerts par ce poste

Résumé du poste

DICE - Data Intelligence Community Experts is seeking a Data Analyst to bridge the gap between business stakeholders and technical teams during a Data Platform transformation. You will gather requirements, help design analytical data models, and perform data profiling on operational databases on this evolving Data Warehouse migration using Databricks and PySpark.

Strong data governance, documentation, and testing are essential, with experience in Kimball and Data Vault considered a plus.

Qualifications

• Translate business requirements into functional data solutions.
• Contribute to analytic data model design and evolution.
• Profile and analyse data in operational databases.
• Support data quality, governance and documentation initiatives.
• Participate in testing and validation to ensure high quality deliverables.

Responsabilités

• Gather and analyze business requirements and translate them into functional specifications.
• Contribute to the design and evolution of analytical data models.
• Perform data profiling and analysis on operational databases.
• Support data quality, governance, and documentation initiatives.
• Participate in testing and validation activities to ensure reliable and high-quality deliverables.

Connaissances

Data analysis

Stakeholder collaboration

Data modeling

Data governance

Analytical mindset

Outils

Databricks

PySpark

SSMS

T-SQL

Kimball

Data Vault

Description du poste

Our client is looking to strengthen its Data Warehouse team with a Data Analyst who can bridge the gap between business stakeholders and technical teams in a context of ongoing Data Platform transformation.

Key Responsibilities

• Gather and analyze business requirements and translate them into functional specifications.
• Contribute to the design and evolution of analytical data models.
• Perform data profiling and analysis on operational databases.
• Support data quality, governance, and documentation initiatives.
• Participate in testing and validation activities to ensure reliable and high-quality deliverables.

Technical Skills

• Strong knowledge of Databricks and PySpark (the Data Warehouse is currently being migrated to this platform).
• Solid experience with SQL Server Management Studio (SSMS) and T-SQL for data profiling and analysis.

Data Expertise

• Good understanding of Data Governance principles (DMBOK or equivalent).
• Hands-on experience with Kimball dimensional modeling.
• Knowledge of Data Vault is considered a strong asset.

Business Knowledge

• Experience in the Life Insurance industry is a significant advantage, enabling an effective translation of business needs into data solutions.

Soft Skills

• End-to-end vision and understanding of data flows.
• Strong attention to detail, particularly regarding documentation, testing, and data quality.
• Analytical mindset, autonomy, and the ability to work effectively with both business and technical stakeholders.