Business Intelligence Engineer

POSITION DESCRIPTION:

• Position Title: Business Intelligence Engineer
• Reports to: Head Data Analytics

JOB PURPOSE / ROLE:

We are seeking a highly skilled and analytical Business Intelligence (BI) Engineer to design, develop, and maintain robust BI solutions that empower data-driven decision-making across the bank. This role is critical in transforming raw data into actionable insights, supporting strategic initiatives, and enhancing operational efficiency through advanced reporting, dashboarding, and data modeling.

The BI Engineer will work closely with business stakeholders to understand analytical needs, develop scalable data models, and deliver intuitive visualizations using tools such as Power BI, Tableau, and SQL-based platforms.

TEAM & REPORTING STRUCTURE:

• Individual Contributor
• Manages Team / Supervises Staff: No

KEY RESPONSIBILITIES:

This role is pivotal in enabling data transparency and performance monitoring across banking functions such as Risk, Finance, Retail, and Corporate Banking.

• Design and develop interactive dashboards, reports, and KPI scorecards using Power BI and other BI tools.
• Collaborate with business units to gather requirements and translate them into technical specifications.
• Build and maintain semantic data models and OLAP cubes to support self-service analytics.
• Integrate data from multiple sources (EDW, APIs, flat files) and ensure data quality and consistency.
• Optimize SQL queries and ETL processes for performance and scalability.
• Support the transformation of periodic and ad-hoc reports into automated BI solutions.
• Ensure compliance with data governance, security, and privacy policies.
• Provide training and support to business users on BI tools and data interpretation.
• Participate in strategic planning and analytics roadmap development.
• Coordinate with IT and data engineering teams to ensure seamless data pipeline integration.
• Visualize and communicate insights and model outcomes to both technical and non-technical audiences using BI tools (e.g., Power BI).
• Mentor junior data scientists and contribute to the development of reusable analytics components and best practices.

QUALIFICATIONS & EXPERIENCE:

Education:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required.
• 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.

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.

Certifications:

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

LANGUAGES:

• English
• Arabic

COMPETENCIES:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and adaptable mindset in fast-paced environments.
• Business Acumen: Ability to translate business needs into analytical solutions, aligning BI initiatives with organizational goals and KPIs.
• Data Governance Awareness: Understanding of data privacy, security, and governance principles in regulated environments.

Job Type: Full-time

Work Location: Remote