Business Intelligence Engineer - Power BI - Banking

Job Description Roles & Responsibilities Job Description We are currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets and terms & conditions: 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) Desired Candidate Profile 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. Company Industry IT - Software Services Department / Functional Area IT Software Keywords Business Intelligence Engineer - Power BI - Banking Get real-time job updates only on our App