Data Analyst

Dicetek LLC; Manama; On-site; BHD 16,000 - 25,000; Full time

Job summary

A financial services company in Bahrain is seeking a skilled Data Analyst with a strong analytical background and expertise in AWS Cloud environments. The ideal candidate will have at least 3 years of experience in banking, a proven track record in data management, and the ability to analyze large datasets. Responsibilities include generating insights, developing dashboards, and conducting predictive modeling. This position offers an opportunity to contribute to data-driven decision-making processes.

Qualifications

• Minimum of 3 years’ experience in a similar role in a bank or financial institution.
• Total of minimum 10 years’ experience working in banking industry.
• Proven track record of successful implementation of data initiatives.

Responsibilities

• Analyze complex datasets and generate insights for decision-making.
• Develop and maintain dashboards to track KPIs.
• Conduct trend analysis and predictive modeling to support business initiatives.

Skills

Data analysis and management

SQL

Python

R

Tableau

Power BI

AWS services

Job description

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 Experience

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

• Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
• Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
• Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understand different 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, e.g., 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, e.g., the ability to understand how AI and Analytics can help redesign the way work is done.
• Business lines data, e.g., 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

• 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. 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.