Data Analyst

Compnay:Global Banking Organization

Key Skills: Power BI, SQL, Python, Data visualization

Roles and Responsibilities:

• Ability to execute, complete, debug and enhance ETL using SQL, Python, SAS (EG & SMC), O365, Excel etc.
• Ability to present data in a graphical or pictorial format based on requirements using company's visualisation tools such as Power BI.
• Ability to convert data into information and communicate actionable insights to stakeholders.
• Understand financial services data and able to understand data models and relationships to compile reporting and metrics.
• Demonstrable experience in data pipeline design and builds and understand how to deal with various data types and missing data.
• Attention to detail, self-managed,

Skills Required:

• The candidate must have strong expertise in SQL, Python, and SAS (EG & SMC).
• Proficiency in Power BI, Microsoft O365, and Excel is essential.
• The ability to design and develop data pipelines is required.
• A solid understanding of data visualization techniques is necessary.
• The candidate should be familiar with financial services data, including data models and relationships.
• Attention to detail is a must for ensuring data accuracy and reliability.
• The ability to work independently and manage tasks without supervision is important.

Education: Bachelor's Degree in related field