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:
  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.

• 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

• 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.

• 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.