Data Analyst, UAE National, Supply Chain Planning
Amazon · Dubai, ARE ·
- Category
- Data analytics
If you are a supply chain professional with a passion to innovate and contribute in a fast paced growing environment, you might be a good fit to join Amazon.com Supply chain team. This role involves big data handling and cross functional communication. The candidate is expected to have exceptional analytical, planning and written/verbal communication skills along with preferred experience in managing transportation function in retail domain.
Key job responsibilities
Support the automation initiatives within Supply chain team. This will mean you will be monitoring multiple dashboards, and working with SQL/ Python. You will be expected to deploy the requested changes, build weekly reviews and drive automations using sql/ python and AI initiatives. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed.
A day in the life
- Collect and analyze data
- Support business growth in constrained environment with innovative and automated solutions
- Work on Agentic AI initiatives, Multi Agent workflow
- Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation.
- Rollout best practices from other geographies/ companies to minimize end to end supply chain losses
- Utilize problem-solving and communication skills to influence business, operations and technical audiences
- Bring data driven solutions using analytical skills to contribute operations and growth in the organization
Key job responsibilities
Support the automation initiatives within Supply chain team. This will mean you will be monitoring multiple dashboards, and working with SQL/ Python. You will be expected to deploy the requested changes, build weekly reviews and drive automations using sql/ python and AI initiatives. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed.
A day in the life
- Collect and analyze data
- Support business growth in constrained environment with innovative and automated solutions
- Work on Agentic AI initiatives, Multi Agent workflow
- Work on scaling up processes at a quick pace, by identifying, implementing available tools/automation.
- Rollout best practices from other geographies/ companies to minimize end to end supply chain losses
- Utilize problem-solving and communication skills to influence business, operations and technical audiences
- Bring data driven solutions using analytical skills to contribute operations and growth in the organization