ICQA Data Analyst - Inventory Analytics
Posted date [2026-10-04]
(ID: 52952)
 |
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Job Description and Requirements
ICQA Data Analyst - Inventory AnalyticsJob Snapshot
Role: ICQA Data Analyst
Location: Abu Dhabi, UAE
Industry: Logistics and Supply Chain
Function: Analyst
Experience: Experience in data analytics, large-scale project execution and AWS technologies
Job Type: Full Time
Position Overview
Amazon is hiring an ICQA Data Analyst in Abu Dhabi, UAE to provide analytical support across Inventory Control and Quality Assurance, Learning and Finance functions. The role focuses on transforming data from multiple sources into actionable reports, dashboards and insights that help identify the root causes of quality defects, inventory adjustments and operational performance trends.
The ICQA Data Analyst will work with SQL, Amazon QuickSight, Python and AWS technologies to develop reporting solutions, automate analysis and improve access to business-critical information. The position requires strong analytical ability, attention to detail and the communication skills needed to explain complex findings clearly
to leadership and cross-functional stakeholders.
Job Details
Country: UAE
City: Abu Dhabi
Industry: Logistics and Supply Chain
Function: Analyst
Salary: Not disclosed
Gender: No Preference
Candidate Nationality: Not specified
Job Type: Full Time
Work Arrangement: On-site
Key Job Responsibilities
Data Collection and Management
Develop structured processes and systems that support reliable collection, organization and use of operational data.
- Develop data collection processes.
- Build and maintain data management systems.
- Gather information from multiple data sources.
- Perform data collection and entry when required.
- Organize information for consistent analysis and reporting.
- Support data requirements for ICQA and Learning team projects.
- Maintain accuracy and attention to detail when handling operational information.
SQL Analysis and Reporting
Design SQL queries and use them to compile information required for business analysis and reporting.
- Develop queries for operational and analytical requirements.
- Compile data from relevant sources.
- Generate standard and ad-hoc reports.
- Investigate data supporting business questions.
- Analyze operational trends and performance.
- Present results in clear, easily digestible reports.
Amazon QuickSight Dashboards
Develop Amazon QuickSight dashboards that support business decision-making and dive-deep activities.
The analyst will translate business requirements into useful visual reporting mechanisms that give stakeholders greater visibility into operational metrics and emerging trends.
- Develop and maintain dashboards.
- Create charts and graphs for reporting.
- Present metrics through appropriate visualizations.
- Improve stakeholder access to relevant information.
- Support deeper investigation through structured dashboard reporting.
Python Automation
Develop Python-based automation solutions for analytical activities.
The role will identify opportunities to automate recurring analysis, reduce repetitive manual work and improve the consistency and efficiency of data processing and reporting.
Business Review Reporting
Prepare and publish analytical materials used during recurring business reviews and project discussions.
- Prepare Weekly Business Review reports.
- Support Quarterly Business Review reporting.
- Produce project update reports.
- Maintain visibility into relevant business metrics.
- Provide supporting analysis for leadership reviews.
- Communicate trends requiring additional investigation.
Defect and Inventory Analysis
Conduct detailed research into quality defect trends and inventory adjustments.
- Investigate recurring defect patterns.
- Analyze information from multiple sources.
- Identify potential root causes behind quality issues.
- Examine inventory adjustment trends.
- Highlight anomalies or recurring operational problems.
- Provide analytical findings that support corrective action.
- Use data to help teams understand where deeper investigation is required.
Leadership Support
Help leadership teams understand and interpret data trends when needed.
This requires the ability to move beyond presenting raw figures and explain what the information indicates, where performance is changing and which areas may require further attention.
Analytical findings should be communicated clearly and concisely so that both technical and non-technical stakeholders can use them effectively.
Cross-Functional Collaboration
Work closely with ICQA, Learning, Finance and other relevant teams.
- Gather analytical requirements from stakeholders.
- Understand business and end-customer needs.
- Translate those requirements into appropriate data solutions.
- Communicate with leadership and cross-functional teams.
- Support ICQA and Learning projects.
- Present recommendations supported by data and analysis.
- Coordinate analytical work across project stakeholders.
Project Execution
Manage and execute substantial analytical projects from initial requirements through completion.
Project activities may include:
- Project planning and coordination.
- Data gathering.
- Data modeling.
- Problem investigation.
- Development of analytical solutions.
- Reporting and visualization.
- Communication of findings.
- Presentation of recommendations.
Basic Qualifications
- Experience demonstrating strong analytical skills.
- Strong attention to detail.
- Effective communication abilities.
- Experience communicating clearly and concisely with leadership, stakeholders and cross-functional teams.
- Experience managing and executing large projects from start to finish.
- Experience with project management.
- Experience gathering and modeling data.
- Experience solving problems and communicating recommendations.
- Experience understanding business and end-customer requirements and translating them into appropriate solutions.
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda and IAM roles and permissions.
Preferred Qualifications
- Experience training and deploying machine learning systems for large-scale optimization problems, or experience in development or technical support.
Technical Skills
- SQL.
- Python.
- Amazon QuickSight.
- Amazon Redshift.
- Amazon S3.
- AWS Glue.
- Amazon EMR.
- Amazon Kinesis.
- Amazon Data Firehose.
- AWS Lambda.
- AWS IAM roles and permissions.
- Data collection.
- Data management.
- Data modeling.
- Dashboard development.
- Data visualization.
- Analytical automation.
- Operational reporting.
- Root cause analysis.
- Machine learning systems.
Role Impact
The ICQA Data Analyst provides the analytical foundation needed to understand inventory accuracy and quality performance. By connecting information from multiple sources, investigating defect trends, developing dashboards and automating recurring analysis, the role enables ICQA, Learning and Finance stakeholders to make decisions using clearer and more accessible operational data.
The position requires both technical capability and business understanding, particularly the ability to translate complex datasets into insights and recommendations that stakeholders can act on.
Workplace Inclusion
Amazon supports an inclusive workplace and provides accommodations or adjustments during the application, interview and onboarding process for candidates with disabilities who require assistance.
About the Company
This Amazon vacancy is associated with Q-Express Documents Transport. The ICQA Data Analyst supports operational decision-making through data analysis, SQL reporting, Amazon QuickSight dashboards, Python automation and investigation of inventory and quality trends.
Job Details
Country: UAE
City: Abu Dhabi
Industry: Logistics and Supply Chain
Function: Analyst
Salary: Not disclosed
Gender: No Preference
Candidate Nationality: Not specified
Job Type: Full Time
Work Arrangement: On-site
Key Job Responsibilities
Data Collection and Management
Develop structured processes and systems that support reliable collection, organization and use of operational data.
- Develop data collection processes.
- Build and maintain data management systems.
- Gather information from multiple data sources.
- Perform data collection and entry when required.
- Organize information for consistent analysis and reporting.
- Support data requirements for ICQA and Learning team projects.
- Maintain accuracy and attention to detail when handling operational information.
SQL Analysis and Reporting
Design SQL queries and use them to compile information required for business analysis and reporting.
- Develop queries for operational and analytical requirements.
- Compile data from relevant sources.
- Generate standard and ad-hoc reports.
- Investigate data supporting business questions.
- Analyze operational trends and performance.
- Present results in clear, easily digestible reports.
Amazon QuickSight Dashboards
Develop Amazon QuickSight dashboards that support business decision-making and dive-deep activities.
The analyst will translate business requirements into useful visual reporting mechanisms that give stakeholders greater visibility into operational metrics and emerging trends.
- Develop and maintain dashboards.
- Create charts and graphs for reporting.
- Present metrics through appropriate visualizations.
- Improve stakeholder access to relevant information.
- Support deeper investigation through structured dashboard reporting.
Python Automation
Develop Python-based automation solutions for analytical activities.
The role will identify opportunities to automate recurring analysis, reduce repetitive manual work and improve the consistency and efficiency of data processing and reporting.
Business Review Reporting
Prepare and publish analytical materials used during recurring business reviews and project discussions.
- Prepare Weekly Business Review reports.
- Support Quarterly Business Review reporting.
- Produce project update reports.
- Maintain visibility into relevant business metrics.
- Provide supporting analysis for leadership reviews.
- Communicate trends requiring additional investigation.
Defect and Inventory Analysis
Conduct detailed research into quality defect trends and inventory adjustments.
- Investigate recurring defect patterns.
- Analyze information from multiple sources.
- Identify potential root causes behind quality issues.
- Examine inventory adjustment trends.
- Highlight anomalies or recurring operational problems.
- Provide analytical findings that support corrective action.
- Use data to help teams understand where deeper investigation is required.
Leadership Support
Help leadership teams understand and interpret data trends when needed.
This requires the ability to move beyond presenting raw figures and explain what the information indicates, where performance is changing and which areas may require further attention.
Analytical findings should be communicated clearly and concisely so that both technical and non-technical stakeholders can use them effectively.
Cross-Functional Collaboration
Work closely with ICQA, Learning, Finance and other relevant teams.
- Gather analytical requirements from stakeholders.
- Understand business and end-customer needs.
- Translate those requirements into appropriate data solutions.
- Communicate with leadership and cross-functional teams.
- Support ICQA and Learning projects.
- Present recommendations supported by data and analysis.
- Coordinate analytical work across project stakeholders.
Project Execution
Manage and execute substantial analytical projects from initial requirements through completion.
Project activities may include:
- Project planning and coordination.
- Data gathering.
- Data modeling.
- Problem investigation.
- Development of analytical solutions.
- Reporting and visualization.
- Communication of findings.
- Presentation of recommendations.
Basic Qualifications
- Experience demonstrating strong analytical skills.
- Strong attention to detail.
- Effective communication abilities.
- Experience communicating clearly and concisely with leadership, stakeholders and cross-functional teams.
- Experience managing and executing large projects from start to finish.
- Experience with project management.
- Experience gathering and modeling data.
- Experience solving problems and communicating recommendations.
- Experience understanding business and end-customer requirements and translating them into appropriate solutions.
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda and IAM roles and permissions.
Preferred Qualifications
- Experience training and deploying machine learning systems for large-scale optimization problems, or experience in development or technical support.
Technical Skills
- SQL.
- Python.
- Amazon QuickSight.
- Amazon Redshift.
- Amazon S3.
- AWS Glue.
- Amazon EMR.
- Amazon Kinesis.
- Amazon Data Firehose.
- AWS Lambda.
- AWS IAM roles and permissions.
- Data collection.
- Data management.
- Data modeling.
- Dashboard development.
- Data visualization.
- Analytical automation.
- Operational reporting.
- Root cause analysis.
- Machine learning systems.
Role Impact
The ICQA Data Analyst provides the analytical foundation needed to understand inventory accuracy and quality performance. By connecting information from multiple sources, investigating defect trends, developing dashboards and automating recurring analysis, the role enables ICQA, Learning and Finance stakeholders to make decisions using clearer and more accessible operational data.
The position requires both technical capability and business understanding, particularly the ability to translate complex datasets into insights and recommendations that stakeholders can act on.
Workplace Inclusion
Amazon supports an inclusive workplace and provides accommodations or adjustments during the application, interview and onboarding process for candidates with disabilities who require assistance.
About the Company
This Amazon vacancy is associated with Q-Express Documents Transport. The ICQA Data Analyst supports operational decision-making through data analysis, SQL reporting, Amazon QuickSight dashboards, Python automation and investigation of inventory and quality trends.
