Senior Data Warehouse Analyst for Platform Transformation

DICE - Data Intelligence Community Experts

Brussel Hoofdstad

Sur place

EUR 45 000 - 65 000

Plein temps

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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

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.

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