Data Analyst, Cloud & Snowflake
- Develop complex SQL queries to analyze and extract insights from large-scale datasets across cloud and on-premises systems.
- Create intuitive dashboards and reporting solutions using BI tools integrated with cloud data platforms.
- Apply machine learning techniques to support use cases such as fraud detection, credit scoring, and customer segmentation.
- Design and implement automated workflows and data pipelines, with awareness of orchestration tools and cloud-native data services.
- Collaborate with engineering, risk, compliance, and business units to deliver data-driven projects.
- Ensure high standards of data governance, integrity, and compliance, including working with cloud-based data lakes or warehouses.
- Troubleshoot and analyze data quality issues, ensuring alignment with banking and cloud security regulations.
- Ensure security, performance, and regulatory compliance of applications within a banking context.
- Good knowledge of data quality & data management platforms (Informatica is a plus ).
- Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake)
- Knowledge of automation frameworks such as Power Automate, Python scripting, or equivalent
- Hands-on experience with cloud platforms (e.g., AWS, Azure, or GCP) including services such as Lambda, S3, Azure Functions, or BigQuery
- Familiar with the Power BI/Tableau for building governance dashboards
- Proficient in Python or R for data analysis and model development
- Domain knowledge in banking areas such as regulatory reporting, risk analytics, or operational efficiency.
- Experience working with Snowflake, Databricks, or similar cloud-native data platforms.
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