Job Title Data & Business Intelligence Analyst

Location: Dubai UAE

About the Role

We are seeking a detail-oriented and analytical Data & Business Intelligence Analyst to transform complex datasets into actionable business insights that support strategic planning operational efficiency and informed decision-making. The role involves collecting validating analysing and interpreting data from multiple sources developing interactive dashboards automating reports and identifying trends and opportunities for improvement.

The ideal candidate will combine strong technical expertise in data analytics and business intelligence tools with the ability to understand business requirements maintain data quality and communicate insights effectively to stakeholders. Experience working with product information master data data governance supply chain data or industry standards will be an advantage.

Key Responsibilities

Data Analysis & Business Intelligence

• Collect consolidate and analyse data from multiple internal and external sources to generate meaningful business insights.
• Translate business requirements into analytical reports dashboards performance metrics and actionable recommendations.
• Identify patterns trends anomalies and performance gaps to support strategic and operational decision-making.
• Develop and maintain key performance indicators (KPIs) scorecards and management reporting frameworks.
• Conduct root-cause analysis to investigate data discrepancies performance variations and emerging business issues.
• Support forecasting trend analysis and data-driven planning initiatives.
• Present analytical findings to stakeholders through clear visualizations and concise reports.

Dashboard Development & Reporting Automation

• Design develop and maintain interactive dashboards using Power BI Tableau or similar business intelligence platforms.
• Build data models calculated measures and visualizations to support business reporting requirements.
• Automate recurring reports and data workflows to improve efficiency consistency and accuracy.
• Develop and optimize SQL queries to extract transform and analyse data from databases and other structured sources.
• Integrate data from different systems and establish consistent reporting structures.
• Monitor dashboard performance and ensure reports remain accurate relevant and up to date.
• Document reporting logic data definitions and dashboard specifications for future reference.

Data Quality & Governance

• Validate datasets to ensure accuracy completeness consistency and reliability.
• Identify data gaps duplication inconsistencies and quality issues and coordinate corrective actions with relevant teams.
• Establish data validation rules quality checks and monitoring mechanisms.
• Support the development and implementation of data governance policies procedures and reporting standards.
• Maintain data dictionaries business definitions metadata and documentation of key data elements.
• Ensure data is handled in accordance with internal policies confidentiality requirements and applicable data protection regulations.
• Contribute to initiatives that improve data integrity and standardize information across business systems.

Business & Stakeholder Collaboration

• Work closely with business technology operations and management teams to understand analytical needs and reporting priorities.
• Gather requirements from stakeholders and convert them into practical BI solutions.
• Collaborate with technical teams to resolve data integration database and reporting issues.
• Explain analytical findings to non-technical stakeholders and recommend practical business actions.
• Support business reviews presentations performance assessments and strategic planning exercises.
• Provide analytical support for projects involving digital transformation process improvement and data-driven services.

Data Integration & Continuous Improvement

• Assist in developing and maintaining data extraction transformation and loading (ETL) processes.
• Identify opportunities to streamline data collection reporting workflows and analytical processes.
• Use Python or other analytical tools where appropriate to support data cleaning automation and advanced analysis.
• Evaluate emerging analytics tools and techniques that could improve business intelligence capabilities.
• Support the integration and analysis of product customer transaction and operational datasets where relevant.
• Recommend improvements to data architecture reporting processes and analytical methodologies.

Qualifications & Experience <