Data Analyst

RESO; Manama; On-site; BHD 20,000 - 40,000; Full time

Job summary

An established industry player is on the lookout for a skilled Data Analyst with a robust background in AWS Cloud environments and financial services. This role offers the opportunity to dive deep into data analytics, transforming complex datasets into actionable insights that drive business decisions. You will collaborate with cross-functional teams to enhance data-driven strategies and support business initiatives. If you are passionate about data and eager to contribute to innovative banking solutions, this position is perfect for you. Join a dynamic team where your expertise will help shape the future of financial services.

Qualifications

• Minimum 3 years in a similar role within banking or financial institutions.
• Strong analytical background and expertise in data management.

Responsibilities

• Analyze complex datasets and generate insights for decision-making.
• Develop dashboards and reports to track KPIs and business metrics.

Skills

Data Analytics

Data Visualization

Trend Analysis

Predictive Modeling

Wholesale Banking Knowledge

SQL

Python

R

Communication Skills

Collaboration Skills

Tools

Tableau

Power BI

AWS (S3, Redshift, RDS, Athena, Glue)

R Studio

Jupyter

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 Requirements:

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 the banking industry. 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 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, including 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, 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.
• Knowledge and expertise of Transaction Banking products such as Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management, and Treasury solutions, along with 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: 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.