Data Analyst - Business Insights

About the Company

Dubai Taxi Company PJSC stands as a premier provider of mobility solutions in Dubai, being the largest taxi operator in the area. Established in 1994 with initial operations starting in 1995 with a fleet of just 221 taxis, the company has since grown to include various mobility services leveraging its industry leadership and operational capabilities. The business lines encompass eco-friendly taxi services, VIP limousine chauffeur-driven vehicles, bus transport, and last-mile delivery via bike services.

Vision: To be the preferred mobility choice for everyone.

Mission: To lead in providing digital and safe mobility services that accommodate community needs for convenience, connectivity, and sustainability.

Values: Customer-Centricity, Creativity, Collaboration, Integrity, Safety.

Role Overview

This position is responsible for transforming business needs into reliable, well-managed, and high-performing analytic solutions such as dashboards, reports, and self-service insights. Utilizing Microsoft Fabric technologies including Lakehouse, Data Warehouse, and Data Lake within the enterprise architecture, the role oversees and refines data resources following the Medallion Architecture's Bronze, Silver, and Gold tiers to maintain data quality, lineage, security, and compliance with company policies. Collaboration with Finance, Operations, Procurement departments, and senior leadership is essential for rapid development and iteration of Power BI business intelligence solutions with uniform KPIs and definitions. Additionally, the role involves building Copilot agents via Copilot Studio integrating SharePoint, Microsoft Fabric, and other data sources to facilitate natural language-driven self-service analyses. Leveraging Azure AI Foundry and its model catalog, the analyst selects, configures, and deploys suitable machine learning models tailored for specific use cases, ensuring proper AI terminology throughout the machine learning lifecycle.

Key Responsibilities

• Manage the complete analytics project lifecycle including requirement gathering, data modeling, construction, testing, deployment, and ongoing enhancement.
• Design and maintain Microsoft Fabric Lakehouse and Warehouse data structures in alignment with enterprise standards and Medallion Architecture layers.
• Develop and enhance data pipelines for ingestion, transformation, and orchestration to produce dependable and scalable data products.
• Create, refine, and distribute Power BI semantic datasets, dashboards, and reports for various stakeholders including Finance, Operations, and Procurement teams.
• Ensure consistency in metrics by performing reconciliation and validation against established KPIs, targets, and business definitions.
• Conduct exploratory and advanced analytics to detect patterns, trends, anomalies, and opportunities for improvement.
• Assist Finance with ROI evaluations and quantify financial impacts of projects, acquisitions, and operational enhancements.
• Work closely with data engineers, architects, tech teams, and data scientists to align on governance, security, and performance objectives.
• Develop conversational Copilot agents integrating multiple data platforms to enable easy access to enterprise insights.
• Prototype and implement machine learning use cases utilizing Azure AI Foundry models, carefully selecting appropriate models and features per requirement.
• Maintain thorough data documentation including dictionaries, lineage, and business glossaries, while ensuring compliance with governance, privacy, and security standards.
• Identify and resolve issues related to data quality, model refreshing, and performance bottlenecks within the BI infrastructure.
• Monitor market and competitor trends providing insights relevant to business product offerings and market positioning.
• Prepare management reporting packages, conduct ad-hoc analyses, and deliver executive-level presentations to inform strategic decisions.
• Cultivate trusted business relationships to promote wider adoption and effective utilization of reporting tools and analytics storytelling.

Qualifications and Experience

• At least five years of substantial experience managing complex IT projects and performing strategic business analysis.
• Proven expertise in process design, workflow mapping, and systems analysis. Additional experience with programming, Robotic Process Automation (RPA), or emerging technology fields is advantageous.
• A Bachelor's degree in Information Technology, Business Administration, or a related discipline is mandatory.
• Preferred certifications include those in business analysis, AI/RPA, Agile/SCRUM methodologies, and Business Relationship Management.
• Highly desirable professional credentials encompass CBAP, PMP, BRMP, LEAN, Six Sigma, or their equivalents.