ICQA Data Analyst - Inventory Analytics

Amazon UAE

Abu Dhabi

On-site

AED 180,000 - 280,000

Full time

3 days ago
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Job summary

Amazon UAE is seeking an ICQA Data Analyst to drive inventory analytics using SQL, Python, and AWS tools. The role focuses on data collection, dashboarding, automation, and cross-functional collaboration to support leadership decisions.

The analyst will develop data systems, build QuickSight dashboards, and deliver regular business reviews. On-site in Abu Dhabi, collaboration with ICQA and Learning teams is essential for improvement and transparency.

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 AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda and IAM roles and permissions.

Responsibilities

  • Data Collection and Management: Develop data collection processes and maintain data management systems.
  • SQL Analysis and Reporting Design: Develop queries for operational and analytical requirements and generate reports.
  • Amazon QuickSight Dashboards: Create dashboards and visualizations to present metrics.
  • Python Automation: Identify opportunities to automate recurring analysis and reduce manual work.
  • Business Review Reporting: Prepare Weekly/Quarterly business reviews and project updates.
  • Defect and Inventory Analysis: Investigate defect patterns and/root causes across sources.
  • Leadership Support: Help leadership understand data trends and communicate findings clearly.
  • Cross-Functional Collaboration: Gather requirements and translate into data solutions across teams.
  • Project Execution: Plan, gather data, model, investigate problems, and deliver analyses and recommendations.

Skills

Analytical skills
Attention to detail
Communication skills
Project management
Stakeholder collaboration
Data gathering and modeling
AWS technologies knowledge
SQL queries

Tools

SQL
Python
Amazon QuickSight
Amazon Redshift
Amazon S3
AWS Glue
Amazon EMR
Amazon Kinesis
AWS Lambda
IAM roles and permissions

Job description

Job Snapshot

ICQA Data Analyst - Inventory Analytics

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

Salary: Not disclosed

Gender: No Preference

Candidate Nationality: Not specified

Job Details

Country: UAE

City: Abu Dhabi

Industry: Logistics and Supply Chain

Function: Analyst

Work Arrangement: On-site

Key Job Responsibilities
  • Data Collection and Management
    • 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
    • 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 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
    • Identify opportunities to automate recurring analysis.
    • Reduce repetitive manual work.
    • Improve consistency and efficiency of data processing and reporting.
  • Business Review Reporting
    • 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
    • Investigate recurring defect patterns.
    • Analyze information from multiple sources.
    • Identify potential root causes behind quality issues.
    • Examine inventory adjustment trends....
  • Leadership Support
    • Help leadership teams understand and interpret data trends when needed.
    • Explain what the information indicates, where performance is changing and which areas may require further attention.
    • Communicate findings clearly and concisely for both technical and non-technical stakeholders.
  • Cross-Functional Collaboration
    • 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
    • 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.

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