Business Intelligence Engineer Power BI- Banking

We are currently looking for Business Intelligence Engineer  for our Bahrain operations with the following skillsets and terms & conditions:

Education:

• Bachelors degree in Computer Science Information Systems Data Science or a related field is required. A Masters degree is preferred.

Professional Experience:

Minimum of 58 years of hands-on experience in Business Intelligence and data analytics preferably within the banking or financial services sector.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power BI Python and Matlab.
• Strong command of SQL for querying data modeling and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g. Azure AWS) is a strong advantage.
• Experience in Python and statistical programming with exposure to AI/ML tools algorithms and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation including rationalizing classifying deriving and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Business Acumen:

• Demonstrated capability to translate business objectives into analytical use cases and recommend optimal statistical approaches.
• Experience in managing BI and analytics projects and collaborating with cross-functional teams.

Key Responsibilities

• Participate in defining and maintaining the Treasury analytics and reporting roadmap aligned with business priorities and strategy
• Establish a structured framework for data consumption reporting and dashboard evolution
• Proactively identify opportunities to enhance analytics maturity and reporting capabilities
• Collaborate with Treasury stakeholders (e.g. Trading ALM Investments Risk) to gather requirements and translate them into technical specifications
• Translate business needs into clear analytics use cases KPIs and reporting requirements
• Identify high-value analytical opportunities to support decision-making

Detailed Breakdown

Dashboard Development & Analytics Delivery (Core Focus)

• Design develop and maintain interactive dashboards reports and KPI scorecards using Power BI and other BI tools

Ensure solutions are:

• Dynamic and scenario-driven (what-if analysis simulations sensitivity analysis)
• User-friendly with drill-down and self-service capabilities

• Build and maintain semantic data models and OLAP structures to enable scalable self-service analytics
• Continuously enhance dashboards based on user feedback and evolving business needs
• Ensure timely and high-quality delivery of dashboards and reporting outputs

Insights Analytics & Advanced Capabilities

• Develop actionable insights and analytics outputs relevant to Treasury Investments and Financial Institutions
• Provide data-driven recommendations and clearly communicate findings to both technical and non-technical audiences
• Simplify complex analytics into actionable business insights for decision-making

Explore and implement:

• Automation of reporting and insight generation
• Dynamic scenario simulations
• Predictive analytics and AI-driven insights where applicable

Data Management & Integration

• Coordinate with internal teams (IT data engineering finance systems) to:
• Extract and integrate required datasets
• Ensure data availability accessibility and consistency
• Integrate data from multiple sources (e.g. EDW APIs flat files) into unified models
• Ensure data is structured to support efficient reporting and analytics delivery within the Treasury function
• Optimize SQL queries and ETL processes for performance and scalability

Data Quality & Governance (Treasury Scope)

• Identify data gaps inconsistencies and limitations and work with upstream providers to improve data quality
• Ensure compliance with data governance security and privacy policies (within Treasury scope)
• Maintain proper documentation of data sources transformations and reporting logic

Stakeholder Enablement & Team Contribution

• Provide training and support to business users on BI tools and data interpretation
• Communicate insights effectively to senior leadership and end users
• Mentor team members and contribute to best practices and reusable analytics components

Terms and conditions

Joining time frame: (15 - 30 days)

Remote Work :

No

Employment Type :

Full-time