Support Weekly Business Reviews and Variable Last Mile Rentals reporting cadences by ensuring upstream data is accurate and delivered on time
Escalate systemic data failures through the appropriate FMC governance channels (Monthly Business Reviews, performance reviews).
2- Enable Planning Tools and Downstream Consumers
Ensure data feeds into FORCE (Fleet Optimization, Requirement and Control Engine) and FAB (Fleet Allocation and Balancing) meet signal integration requirements
Partner with the MAPS team (Mid-Term Planning) and Fleet Planning to resolve data gaps that block planning accuracy and automation
Triage new data requests from internal stakeholders against existing data specifications; eliminate redundancy before placing additional requirements on FMCs
3- Drive Continuous Improvement
Identify and implement process improvements to reduce manual data reconciliation effort
Develop monitoring mechanisms to proactively flag reporting inaccuracies before they propagate into planning decisions
Document and maintain the fleet data catalogue, including ownership, refresh cadences, quality thresholds, and known limitations
Ensure any new fleet programs (LMR expansion, new country launches, Middle Mile integration) include data requirements in vendor agreements from the outset
4- Cross-Functional Coordination
Align with Fleet Partnerships (FMC contractual owners), Fleet Deployment & Redeployment, Planning, and GFPA (Global Fleet Planning Analytics) on data priorities and dependencies
Influence FMC behavior through performance metrics and contractual accountability rather than direct authority
Represent data requirements in FMC governance forums (MBR/QBR)
A day in the life
Bachelor's degree or equivalent
Experience working with data analytics and using these metrics to identify problems, or experience in an operational role
Experience in vendor management, or experience in operations and on-call support for data center facilities, mission critical plants, or production facilities
Experience performing data analysis and troubleshooting data integrity issues
Experience in transportation or supply chain within a high-volume logistics, manufacturing or engineering environment
Experience working within a global company, with multi-country responsibilities
Experience in procurement, supply chain, inventory management, contract management, lease administration or operations
Experience managing data pipelines
Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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