Senior Data Analyst
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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.
Learn more about the general tasks related to this opportunity below, as well as required skills.
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. xirbnpk
- Analytical mindset, autonomy, and the ability to work effectively with both business and technical stakeholders.
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