Description

You will own the data pipeline and reporting lifecycle for financial stakeholders. You translate raw data into actionable insights using cloud-native tools.

Responsibilities

• Build and maintain SQL queries and Python scripts to extract, transform, and load data into AWS data warehouses.
• Create interactive dashboards and reports using AWS QuickSight or Tableau to visualize key banking metrics.
• Manage the Unified Data Hub to ensure data accuracy, consistency, and availability for business users.
• Partner with stakeholders to define reporting requirements and deliver independent ownership of data projects.
• Optimize cloud data warehouse performance and ensure efficient use of AWS resources.

Required Skills

• 5+ years of experience in data analysis, with a focus on SQL and Python.
• Proficiency in AWS services, specifically cloud data warehousing (e.g., Redshift).
• Hands-on experience with BI tools such as Tableau or AWS QuickSight.
• Strong understanding of data modeling and warehouse architecture.
• Experience working with Unified Data Hub or similar enterprise data platforms.
• Banking or financial domain experience is required to navigate regulatory and business contexts.
• Proven ability to manage stakeholder relationships and communicate complex data findings clearly.

Preferred Skills

• Experience with Google Workspace for collaborative data documentation and sharing.
• Familiarity with advanced Python libraries for data manipulation and analysis.

Key Skills

Education

Any Gradute