Trans Planning Data Analyst, Supply Chain Transportation Planning, Supply Chain Transportation Planning

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Trans Planning Data Analyst, Supply Chain Transportation Planning, Supply Chain Transportation Planning Dubai, ARE 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 intra-day management of transportation capacities. This will mean you will be monitoring multiple dashboards and receiving multiple change requests from partner teams within a day. You will be expected to deploy the requested changes within the set SLA with high degree of accuracy. Therefore, you will be required to maintain a high bar on attention to detail, ensuring that all requested changes are accurately and fully completed. You are expected to be flexible to work in different shift structures and your schedule can include Night Shifts and Weekends. A day in the life Collect and analyze data Support business growth in constrained environment with innovative and automated solutions 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 Basic

Read the full description at www.amazon.jobs. FewerJobs shows a preview and links to the original posting.