Position Details
About this role
This role focuses on analyzing and managing large datasets within the retail banking sector, supporting data-driven decision-making and ensuring data quality.
Key Responsibilities
- Develop data solutions and tools
- Ensure data quality and governance
- Manage metadata and data lineage
- Support business intelligence and reporting
- Work with unstructured data sources
Technical Overview
Utilizes Python, R, Spark, SQL, and AWS for data analysis, warehousing, and management, with a focus on metadata and data lineage.
Ideal Candidate
The ideal candidate is a mid-level data analyst with experience in SQL, Python, R, and AWS, capable of managing large datasets, ensuring data quality, and providing business insights through data visualization and BI tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with SQL and AWS, No background in data management or warehousing, Inability to work with unstructured data
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