Data Analyst - Business Intelligence
Amazon UAE
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Job summary
Amazon UAE is seeking a Data Analyst - Business Intelligence to transform complex datasets into actionable reports, dashboards and recommendations that support business performance in Dubai. You will develop reporting solutions, analyze operational trends and automate recurring analyses to deliver insights for leadership and Learning and Development teams.
The role emphasizes SQL-based analysis, dashboard development with Tableau or QuickSight, Python automation and data quality craftsmanship to
Qualifications
- Experience with data analysis, reporting, BI or operational analytics.
- Strong ability to translate data into actionable insights for stakeholders.
Responsibilities
- Develop and maintain reliable processes for collecting, organizing and managing operational data.
- Build SQL queries to extract, combine, transform and analyze information from multiple data sources.
- Generate recurring and ad hoc reports that provide clear visibility into business performance.
- Create dashboards, charts and visual reports using Tableau, Amazon QuickSight or similar BI tools.
- Design reporting views for stakeholders to investigate trends and perform deeper analysis.
- Build Python-based automation solutions to reduce manual effort in recurring analytical tasks.
- Improve reporting processes by automation and standardization.
- Prepare data and analytical content for Weekly Business Reviews, Quarterly Business Reviews and project updates.
- Partner with leadership to interpret performance trends and translate findings into practical recommendations.
- Conduct detailed analysis of defect patterns and recurring operational problems.
- Perform root cause analysis to identify factors contributing to performance gaps.
- Highlight emerging trends that may require process changes or management intervention.
- Support Learning and Development initiatives by measuring program performance and analyzing outcomes.
- Provide analytical guidance to Learning teams when designing or evaluating strategic initiatives.
- Collect, validate and reconcile data before management reports.
- Perform data mining to identify patterns across large datasets.
- Complete data entry and verification to maintain reporting accuracy.
- Convert complex analysis into concise standard reports for non-technical stakeholders.
- Maintain consistency and accuracy across published dashboards and reporting systems.
- Investigate data quality issues and resolve discrepancies before distribution.
- Work with business partners to define reporting requirements and KPIs.
- Support business reviews with timely analysis and explanations of key movements.
- Develop repeatable analytical methods to improve reporting efficiency and decision quality.
- Maintain reporting documentation for reproducibility.
- Present findings clearly through written summaries, visualizations and business presentations.
Skills
Tools
Job description
Role: Data Analyst - Business Intelligence
Location: Dubai, United Arab Emirates
Industry: Internet
Function: Analyst
Experience: Relevant experience in data analysis, reporting, business intelligence or operational analytics
Job Type: Full-time
Data Analyst - Business Intelligence in Dubai, United Arab Emirates is an Internet opportunity focused on transforming complex datasets into actionable reports, dashboards and recommendations that support business performance. Amazon is hiring a data-focused professional to develop reporting solutions, analyze operational trends, automate recurring analysis and provide Learning and Development teams with reliable insights that improve decision-making and program effectiveness.
Country: United Arab Emirates City: Dubai Industry: Internet Function: Analyst Salary: 14000-22000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Full-time
Role Context The Data Analyst supports business and Learning and Development teams by converting operational information into structured insights that leaders can use to make informed decisions. The position combines SQL-based analysis, dashboard development, reporting automation and root cause investigation to improve visibility across programs and operational performance. Accurate data management and clear interpretation of trends help teams identify defects, measure outcomes and prioritize improvement opportunities.
- Develop and maintain reliable processes for collecting, organizing and managing operational data.
- Build SQL queries to extract, combine, transform and analyze information from multiple data sources.
- Generate recurring and ad hoc reports that provide clear visibility into business performance.
- Create dashboards, charts and visual reports using Tableau, Amazon QuickSight or similar business intelligence tools.
- Design reporting views that allow stakeholders to investigate trends and perform deeper analysis.
- Build Python-based automation solutions to reduce manual effort in recurring analytical tasks.
- Improve existing reporting processes by identifying opportunities for automation and standardization.
- Prepare data and analytical content for Weekly Business Reviews, Quarterly Business Reviews and project updates.
- Partner with leadership to interpret performance trends and translate findings into practical recommendations.
- Conduct detailed analysis of defect patterns and recurring operational problems.
- Perform root cause analysis to identify factors contributing to performance gaps.
- Highlight emerging trends that may require process changes or management intervention.
- Support Learning and Development initiatives by measuring program performance and analyzing relevant outcomes.
- Provide analytical guidance to Learning teams when designing or evaluating strategic initiatives.
- Collect, validate and reconcile data before incorporating it into management reports.
- Perform data mining activities to identify useful patterns across large datasets.
- Complete data entry and verification work where required to maintain reporting accuracy.
- Convert complex analysis into concise standard reports that can be understood by non-technical stakeholders.
- Maintain consistency and accuracy across published dashboards and reporting systems.
- Investigate data quality issues and resolve discrepancies before information is distributed.
- Work with business partners to define reporting requirements and measurable performance indicators.
- Support business reviews with timely analysis and clear explanations of key movements.
- Develop repeatable analytical methods that improve reporting efficiency and decision-making quality.
- Maintain reporting documentation and ensure analytical processes remain understandable and reproducible.
- Present findings clearly through written summaries, visualizations and business presentations.
- Experience working with data analysis, reporting, operational metrics or business intelligence activities.
- Strong written and verbal communication skills.
- Experience preparing and delivering presentations for business stakeholders.
- Working knowledge of Microsoft Excel, Word, PowerPoint and Outlook.
- Ability to organize and interpret information from multiple data sources.
- Strong attention to data accuracy and reporting consistency.
- Comfortable investigating trends and identifying root causes behind operational performance issues.
- Able to translate technical or analytical findings into clear business recommendations.
- Experience using SQL for data extraction and report generation is valuable.
- Familiarity with Tableau, Amazon QuickSight or comparable visualization platforms is advantageous.
- Exposure to Python-based data automation is beneficial.
- Able to work closely with leadership and Learning and Development teams.
- Strong organizational skills for managing recurring reports and analytical requests.
- Fluent English reading, writing and speaking capability is preferred.
- Data analysis
- SQL
- Business intelligence
- Data visualization
- Tableau
- Amazon QuickSight
- Python
- Reporting automation
- Data management
- Data collection
- Data mining
- Data quality
- Dashboard development
- Operational analytics
- Root cause analysis
- Defect trend analysis
- Trend analysis
- Performance metrics
- KPI reporting
- Weekly Business Reviews
- Quarterly Business Reviews
- Business reporting
- Microsoft Excel
- Microsoft Word
- Microsoft PowerPoint
- Microsoft Outlook
- Learning analytics
- Program effectiveness analysis
- Data-driven recommendations
- Business decision support
- Process improvement
- Report development
- Data transformation
- Stakeholder communication
- Presentation skills
This position offers data professionals the opportunity to work in a highly metrics-driven environment where analysis directly influences operational and learning decisions. The role provides practical exposure to SQL, business intelligence dashboards, Python automation and performance reporting while developing stronger capabilities in root cause analysis and executive communication. It is well suited to professionals seeking broader experience in data-driven decision support within the Internet sector.
Amazon is a global technology and commerce organization operating across e-commerce, logistics, cloud services and digital platforms. Its teams rely heavily on data, experimentation and measurable performance indicators to improve customer experience, operational effectiveness and workforce capability across regional and global operations.
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