Data Analyst | Contracting | Emiratization

Job Requisition ID: 179591 Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group’s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate. By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day Overview Of The Role: • The Specialist Business Intelligence will take complete ownership of the end-to-end implementation of Power BI solutions. This includes everything from data acquisition and transformation to the creation of dynamic dashboards that enable data-driven decision-making. Success in this role requires strong technical proficiency, combined with strategic thinking to ensure BI solutions are aligned with the business goals of the Al-Futtaim Group Real Estate LLC. The candidate must work effectively with cross-functional teams to derive insights and enhance process efficiencies. What You Will Do: Data Management and ETL • Extract, transform, and load (ETL) data utilizing Alteryx and Databricks from various sources into data warehouses or data lakes. • Design and optimize data models utilizing ETL tools or SQL queries to enable efficient data analysis and visualization. Dashboard and Reporting • Develop and maintain interactive dashboards and reports using Power-BI (desktop and web app) to visualize key performance indicators and business metrics. • Implement data quality checks and ensure data integrity across different data sources. Collaboration and Improvement • Collaborate with cross-functional teams to gather requirements and translate business needs into actionable insights. • Continuously monitor and evaluate BI solutions to identify opportunities for improvement and optimization. • Conduct ad-hoc analysis of significant deviations between measurement results and performance targets, suggesting process improvements. Performance and Process Enhancement • Identify ways to improve process efficiency by leveraging data analytics techniques and process re-engineering. • Rollout of measurement automation and analytics reporting tools to enhance process performance KPIs. Required Skills To Be Successful: • Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions. • Excellent communication and collaboration skills for effective teamwork. • Proficiency in developing dashboards and reports using Power-BI. • Experience with data warehousing concepts, including dimensional modeling and ETL processes. What Qualifies You For The Role: • Bachelor's or Master's degree in Engineering, Computer Science, or related discipline. • Minimum 8 years of professional experience, with at least 4 years in the Business Intelligence domain. • Proven experience with Power-BI (desktop and web app) and expertise in building semantic models for data visualization. • Proven experience with Alteryx or other ETL tools, and advanced SQL skills including complex queries and database performance optimization. About Al-Futtaim Engineering & Technologies Al-Futtaim Engineering & Technologies offers customers complete engineering and systems integration solutions. The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation. The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services. These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts. Show more Show less

Bachelor's or Master's degree in Engineering, Computer Science, or related discipline. Minimum 8 years of professional experience, with at least 4 years in the Business Intelligence domain. Proven experience with Power BI (desktop and web app) and expertise in building semantic models for data visualization. Proven experience with Alteryx or other ETL tools, and advanced SQL skills including complex queries and database performance optimization.

Data Management and ETL: Extract, transform, and load (ETL) data utilizing Alteryx and Databricks from various sources into data warehouses or data lakes. Design and optimize data models utilizing ETL tools or SQL queries to enable efficient data analysis and visualization. Dashboard and Reporting: Develop and maintain interactive dashboards and reports using Power-BI (desktop and web app) to visualize key performance indicators and business metrics. Implement data quality checks and ensure data integrity across different data sources. Collaboration and Improvement: Collaborate with cross-functional teams to gather requirements and translate business needs into actionable insights. Continuously monitor and evaluate BI solutions to identify opportunities for improvement and optimization. Conduct ad-hoc analysis of significant deviations between measurement results and performance targets, suggesting process improvements. Performance and Process Enhancement: Identify ways to improve process efficiency by leveraging data analytics techniques and process re-engineering. Rollout of measurement automation and analytics reporting tools to enhance process performance KPIs.