Make Your Resume Now

Business Intelligence Engineer - Power BI- Banking

Posted June 05, 2026
Full-time Mid-Senior Level

Job Overview

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

Education:

 

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master’s degree is preferred.

 

Professional Experience:

 

Minimum of 5–8 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)

 

 

Ready to Apply?

Take the next step in your career journey

Stand out with a professional resume tailored for this role

Build Your Resume – It’s Free!