BI Analyst: Data-Driven Insights & Dashboards

Amazon UAE

Dubai

On-site

AED 156,000 - 246,000

Full time

14 days+

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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.