Data Analyst

We are seeking a skilled Data Analyst with experience in AWS Cloud environments to join our dynamic team. The ideal candidate will possess a strong analytical background, expertise in data management, and a thorough understanding of financial services. You will be responsible for analyzing complex datasets, generating insights, and supporting data-driven decision-making processes.

Minimum of 3 years' experience in a similar role in a bank or financial institution with a total of minimum 10 years' experience working in banking industry experience. Track record of successful implementation of data initiatives in banking, wholesale banking or Transaction banking.

Data Analytics Skills

The data Analyst needs to have a good understanding of the concepts, methods and techniques used:

• Data Analytics: Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Data Visualization: Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
• Data Analysis & Structures: Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understanding of difference data structures structured, semi structured and unstructured data.
  
  

Banking Domain Skills

The Data Analyst needs to have a good understanding of the business process and associated data:

Wholesale Banking/Transaction Banking acumen, for example understanding Transaction Banking concepts, practices, and domain language to engage in problem-solving activities and discuss business issues in stakeholder language.

Journey and Business process transformation, for example the ability to understand how AI and Analytics can help redesign the way work is done.

Business lines data, for example the structure, ownership and use within an organization.

Knowledge and expertise, of Transaction Banking products viz. Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management and Treasury solutions and relevant data requirements

Technology Skills

The Data Analyst needs to have a basic understanding of the principles, methods and techniques of AI and D&A:

• Programming languages: like SQL, Python or R and notebooks like R Studio or Jupyter.
• Data visualization Tools: such as Tableau or Power BI.
• AWS Cloud Skills: strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases. Utilize AWS services (e.g., S3, Redshift, RDS, Athena, Glue) to manage and analyze data.
  
  

Communication And Collaboration Skills

• Work closely with cross-functional teams, including IT, Business, and operations, to understand business needs and provide data-driven insights.
• Communicate findings and recommendations to stakeholders through clear and concise presentations.

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