Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
Key job responsibilities
- Development of data collection processes and data management systems
- Designing of queries, compiling of data, and generation of reports in SQL
- Charting and graphing of data for reporting purposes
- Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
- Develop automation solution for analysis (python)
- Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
- Supporting leadership team how to interpret data trends as needed
- In depth research of defect trends
- Present analysis in easily digestible standard reports
- Support to ICQA & Learning Team Projects
- Problem-solving and analytical thinking
- Clear communication with stakeholders
- Project planning and execution
- Ability to translate business needs into technical solutions
- Hands-on experience with AWS core services (S3, Lambda, Glue, Redshift, EMR), Python data stack (pandas, numpy, scikit-learn), advanced SQL, ETL pipeline design and implementation, and data lake/warehouse architecture
- Experience with machine learning projects including model development and deployment
Company - Q-Express Documents Transport - G25
Job ID: A3098726
Key Skills
Ranked by relevanceReady to apply?
Join Amazon and take your career to the next level!
Application takes less than 5 minutes