ICQA Data Analyst - Inventory Analytics
Posted date [2026-10-04]
(ID: 52950)
 |
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Job Description and Requirements
ICQA Data Analyst - Inventory AnalyticsJob Snapshot
Role: ICQA Data Analyst
Location: Dubai, UAE
Industry: Logistics and Supply Chain
Function: Analyst
Experience: Experience in data analytics, large-scale projects and AWS technologies
Job Type: Full Time
Position Overview
Amazon is hiring an ICQA Data Analyst in Dubai, UAE to provide analytical support across Inventory Control and Quality Assurance, Learning and Finance activities. The role will transform data from multiple sources into reports, dashboards and actionable insights that help teams understand quality defects, inventory adjustments and operational performance.
The ICQA Data Analyst will develop SQL queries, build Amazon QuickSight dashboards, create Python-based automation and work with AWS technologies to improve the way operational data is collected, analyzed and presented. The position requires strong analytical judgement, attention to detail and the ability to communicate complex findings clearly to leadership and cross-functional stakeholders.
Job
Details
Country: UAE
City: Dubai
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 reliable processes for collecting, organizing and maintaining information required for operational analysis.
- Develop data collection processes.
- Build and maintain data management systems.
- Gather information from multiple data sources.
- Perform data collection and entry when required.
- Structure information for consistent analysis and reporting.
- Support data requirements across ICQA and Learning projects.
SQL Analysis and Reporting
Use SQL to extract, compile and analyze operational information.
- Design queries for business and operational analysis.
- Compile data from relevant sources.
- Generate recurring and ad-hoc reports.
- Investigate information supporting operational decisions.
- Present analytical results through standardized reporting.
- Ensure outputs are clear and suitable for business stakeholders.
Dashboard Development
Develop Amazon QuickSight dashboards that improve visibility into business and operational performance.
Dashboards will support decision-making and dive-deep analysis by giving stakeholders structured access to relevant metrics, trends and performance information.
- Build and maintain Amazon QuickSight dashboards.
- Develop appropriate visualizations for operational metrics.
- Chart and graph data for reporting purposes.
- Improve access to information required for business decisions.
- Support deeper investigation of performance and quality trends.
Python Automation
Develop Python-based automation solutions that make recurring analysis more efficient.
The Data Analyst will identify opportunities to reduce repetitive analytical work and develop automation that improves the speed and consistency of reporting and analysis.
Business Reviews
Prepare and publish analytical reports used in regular business reviews and project discussions.
- Prepare Weekly Business Review reports.
- Support Quarterly Business Review reporting.
- Develop project update reports.
- Maintain consistent reporting of important metrics.
- Provide supporting analysis for leadership discussions.
- Present findings in an easily understandable format.
Quality and Inventory Analysis
Conduct detailed investigation into quality defects and inventory adjustments to help teams understand underlying performance issues.
- Research defect trends in depth.
- Identify recurring patterns within quality data.
- Investigate potential root causes.
- Analyze inventory adjustment information.
- Highlight trends requiring further operational attention.
- Translate analytical findings into useful business insights.
- Support initiatives intended to improve inventory accuracy and quality performance.
Leadership and Stakeholder Support
Work closely with ICQA, Learning, Finance and other stakeholders to ensure analytical outputs address genuine business requirements.
- Help leadership interpret data trends when required.
- Communicate analytical findings clearly and concisely.
- Work with cross-functional teams on business problems.
- Understand stakeholder and end-customer requirements.
- Translate identified needs into appropriate analytical solutions.
- Communicate recommendations supported by data and modeling.
Project Execution
Support and manage analytical projects from initial requirements through completion.
This may include gathering data, developing models, investigating problems, designing reports or dashboards and communicating recommendations. The role requires disciplined execution and the ability to manage substantial projects involving multiple stakeholders and data sources.
Basic Qualifications
- Experience demonstrating strong analytical skills and attention to detail.
- Effective communication skills.
- 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, data gathering and modeling.
- Experience with problem solving and communicating recommendations.
- Experience understanding business and end-customer needs 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 to solve large-scale optimization problems, or experience in development or technical support.
Technical Skills
- SQL.
- Python.
- Amazon QuickSight.
- AWS Redshift.
- Amazon S3.
- AWS Glue.
- Amazon EMR.
- Amazon Kinesis.
- Amazon Data Firehose.
- AWS Lambda.
- AWS IAM roles and permissions.
- Data collection and management.
- Data modeling.
- Dashboard development.
- Data visualization.
- Reporting automation.
- Machine learning systems.
- Operational analytics.
- Root cause analysis.
Role Impact
The ICQA Data Analyst turns operational information into visibility that teams can use to understand inventory and quality performance. By connecting data from multiple sources, investigating defect trends and automating analytical processes, the role helps ICQA, Learning and Finance teams make better-informed decisions.
Success requires the ability to move beyond producing reports and investigate why trends are occurring, while presenting findings in a format that leaders and operational stakeholders can readily understand and act upon.
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 Inventory Control and Quality Assurance, Learning and Finance teams through data analysis, reporting, dashboard development, automation and investigation of inventory and quality trends.
Country: UAE
City: Dubai
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 reliable processes for collecting, organizing and maintaining information required for operational analysis.
- Develop data collection processes.
- Build and maintain data management systems.
- Gather information from multiple data sources.
- Perform data collection and entry when required.
- Structure information for consistent analysis and reporting.
- Support data requirements across ICQA and Learning projects.
SQL Analysis and Reporting
Use SQL to extract, compile and analyze operational information.
- Design queries for business and operational analysis.
- Compile data from relevant sources.
- Generate recurring and ad-hoc reports.
- Investigate information supporting operational decisions.
- Present analytical results through standardized reporting.
- Ensure outputs are clear and suitable for business stakeholders.
Dashboard Development
Develop Amazon QuickSight dashboards that improve visibility into business and operational performance.
Dashboards will support decision-making and dive-deep analysis by giving stakeholders structured access to relevant metrics, trends and performance information.
- Build and maintain Amazon QuickSight dashboards.
- Develop appropriate visualizations for operational metrics.
- Chart and graph data for reporting purposes.
- Improve access to information required for business decisions.
- Support deeper investigation of performance and quality trends.
Python Automation
Develop Python-based automation solutions that make recurring analysis more efficient.
The Data Analyst will identify opportunities to reduce repetitive analytical work and develop automation that improves the speed and consistency of reporting and analysis.
Business Reviews
Prepare and publish analytical reports used in regular business reviews and project discussions.
- Prepare Weekly Business Review reports.
- Support Quarterly Business Review reporting.
- Develop project update reports.
- Maintain consistent reporting of important metrics.
- Provide supporting analysis for leadership discussions.
- Present findings in an easily understandable format.
Quality and Inventory Analysis
Conduct detailed investigation into quality defects and inventory adjustments to help teams understand underlying performance issues.
- Research defect trends in depth.
- Identify recurring patterns within quality data.
- Investigate potential root causes.
- Analyze inventory adjustment information.
- Highlight trends requiring further operational attention.
- Translate analytical findings into useful business insights.
- Support initiatives intended to improve inventory accuracy and quality performance.
Leadership and Stakeholder Support
Work closely with ICQA, Learning, Finance and other stakeholders to ensure analytical outputs address genuine business requirements.
- Help leadership interpret data trends when required.
- Communicate analytical findings clearly and concisely.
- Work with cross-functional teams on business problems.
- Understand stakeholder and end-customer requirements.
- Translate identified needs into appropriate analytical solutions.
- Communicate recommendations supported by data and modeling.
Project Execution
Support and manage analytical projects from initial requirements through completion.
This may include gathering data, developing models, investigating problems, designing reports or dashboards and communicating recommendations. The role requires disciplined execution and the ability to manage substantial projects involving multiple stakeholders and data sources.
Basic Qualifications
- Experience demonstrating strong analytical skills and attention to detail.
- Effective communication skills.
- 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, data gathering and modeling.
- Experience with problem solving and communicating recommendations.
- Experience understanding business and end-customer needs 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 to solve large-scale optimization problems, or experience in development or technical support.
Technical Skills
- SQL.
- Python.
- Amazon QuickSight.
- AWS Redshift.
- Amazon S3.
- AWS Glue.
- Amazon EMR.
- Amazon Kinesis.
- Amazon Data Firehose.
- AWS Lambda.
- AWS IAM roles and permissions.
- Data collection and management.
- Data modeling.
- Dashboard development.
- Data visualization.
- Reporting automation.
- Machine learning systems.
- Operational analytics.
- Root cause analysis.
Role Impact
The ICQA Data Analyst turns operational information into visibility that teams can use to understand inventory and quality performance. By connecting data from multiple sources, investigating defect trends and automating analytical processes, the role helps ICQA, Learning and Finance teams make better-informed decisions.
Success requires the ability to move beyond producing reports and investigate why trends are occurring, while presenting findings in a format that leaders and operational stakeholders can readily understand and act upon.
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 Inventory Control and Quality Assurance, Learning and Finance teams through data analysis, reporting, dashboard development, automation and investigation of inventory and quality trends.
