Data Analyst, ICQA/LND Analytics & Dashboards

Amazon; Abu Dhabi; On-site; AED 120,000 - 160,000; Full time

Job summary

Amazon is seeking an ICQA Data Analyst to transform data from multiple sources into actionable insights, support inventory accuracy, and drive improvements in reporting and dashboards. You will build SQL queries, develop dashboards in Amazon Quicksight, automate analyses with Python, and collaborate with ICQA, Learning and Finance teams to inform business decisions.

You will regularly publish reports for leadership reviews and present data trends to cross-functional partners, enabling

Qualifications

• Experience with data analytics, reporting, and communicating findings clearly.
• Ability to manage large projects from data collection to presentation.
• Understanding business needs and translating them into data solutions.
• Experience with AWS data tech stack (Redshift, S3, Glue, EMR, Kinesis, Lambda, IAM).

Responsibilities

• Develop data collection processes and data management systems.
• Design SQL queries, compile data, and generate reports.
• Chart data for reporting and create dashboards for decision making.
• Develop automation for analyses using Python.
• Publish reports for business reviews (weekly/quarterly).
• Interpret data trends for leadership and cross-functional teams.
• Research defect trends and support ICQA & Learning projects.

Skills

Analytical skills

Attention to detail

Communication skills

Project management

SQL

Python

AWS services

Dashboarding

Tools

SQL

Amazon Quicksight

Python

Redshift

S3

EMR

Kinesis

Lambda

IAM

Job description

Amazon is seeking an ICQA Data Analyst to transform data from multiple sources into actionable insights, support inventory accuracy, and drive improvements in reporting and dashboards. You will build SQL queries, develop dashboards in Amazon Quicksight, automate analyses with Python, and collaborate with ICQA, Learning and Finance teams to inform business decisions.

You will regularly publish reports for leadership reviews and present data trends to cross-functional partners, enabling