Business Intelligence Engineer - Power BI- Banking
Full-time Mid-Senior LevelJob 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)
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