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Data Insights Specialist

3 weeks ago

Manama, Manama, Bahrain beBee Careers Full time

We are seeking a skilled Data Analyst 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.

Key Responsibilities
  • Analyzing complex datasets to extract meaningful insights
  • Developing and maintaining dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics
  • Conducting trend analysis, pattern recognition, and predictive modeling to support business initiatives

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
  • 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 different data structures: structured, semi-structured, and unstructured data

The successful candidate should have:

  • A minimum of 3 years' experience in a similar role in a bank or financial institution
  • Total of minimum 10 years' experience working in the banking industry
  • A track record of successful implementation of data initiatives in banking, wholesale banking, or transaction banking

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

  • Wholesale Banking/Transaction Banking acumen, including understanding Transaction Banking concepts, practices, and domain language
  • Journey and Business process transformation, including the ability to understand how AI and Analytics can help redesign the way work is done
  • Business lines data, including the structure, ownership, and use within an organization

The ideal candidate should also have a basic understanding of the principles, methods, and techniques of AI and D&A:

  • Programming languages: SQL, Python, or R and notebooks like R Studio or Jupyter
  • Data visualization Tools: Tableau or Power BI
  • AWS Cloud Skills: Strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases

We are looking for someone who can work closely with cross-functional teams, including IT, Business, and Operations, to understand business needs and provide data-driven insights.