Senior Data Analyst

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, you’re joining a team with possibilities that literally span the world—from opportunities for advancement and location transfer, to training and leadership programs.
• Total Compensation and Benefits Package: We want to keep our employees for a long time, so we offer competitive benefits, opportunities for flexible work arrangements, and programs to support well-being.

Equal Opportunities

Our greatest asset at FedEx is our people. We are committed to building a diverse, equitable and inclusive workforce, and offer equal opportunities, fairness and respect to all regardless of who you are.  We encourage you to apply even if you feel your experience does not align with all the aspects in the job description as you could be exactly who we need for this or another opportunity.

We do not tolerate discrimination or harassment based on race, color, ethnicity, national origin, religion, sex, age, genetic information, citizenship, disability, marital status, pregnancy, sexual orientation, gender identity, gender expression, veteran status or any other characteristic protected under national, state or local laws. We will reasonably accommodate team members and third parties with physical and mental disabilities.

" Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date"

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Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
Grade - 13

What will you do? 

As a Senior Data Analyst, you will play a critical role in bridging business operations and technology teams to ensure logistics and supply chain data is structured, governed, and delivered effectively across the enterprise. 

Partner with business stakeholders across logistics, operations, and supply chain functions to understand business processes, requirements, and pain points. 

Design, maintain, and enhance logistics data models that support operational and strategic business needs. 

Define and document business data requirements, data definitions, relationships, and business rules across systems. 

Lead data validation and reconciliation activities to ensure data accuracy, consistency, and integrity across multiple platforms. 

Synthesize information from diverse business and system sources to create clear, actionable requirements for IT and data engineering teams. 

Facilitate discussions between business and IT teams, ensuring alignment on priorities, scope, and expected outcomes. 

Perform root cause analysis of data quality and process issues and coordinate remediation efforts. 

Support data governance initiatives, master data management activities, and process standardization efforts. 

Develop data mappings, functional specifications, process flows, and testing requirements to support system enhancements and projects. 

 
Have a Bachelor's degree in Information Systems, Computer Science, Supply Chain, Engineering, Business Analytics, or a related discipline. 

Possess 5+ years of experience in data analysis, business analysis, data modeling, or supply chain systems roles. 

You will be a great fit if:

Have strong knowledge of logistics, transportation, warehouse management, inventory management, or supply chain processes. 

Demonstrate expertise in data modeling, data mapping, and data validation methodologies. 

Have strong SQL and relational database skills. 

Can effectively translate business requirements into structured data and system requirements. 

Are confident engaging with stakeholders at multiple levels of the organization and facilitating alignment across teams. 

Possess strong analytical thinking and problem-solving capabilities with attention to detail. 

Are familiar with data governance, master data management, and data quality frameworks. 

 What you can expect:

A supportive, inclusive, and collaborative work environment. 

Opportunities to work on large-scale logistics and supply chain transformation initiatives. 

Exposure to global business operations and cross-functional stakeholders. 

The opportunity to shape and improve critical data assets that enable business decision-making and operational excellence. 

Continuous learning and professional development opportunities. 

The flexibility and empowerment to drive meaningful business outcomes and influence change across the organization. 

A culture that values innovation, ownership, teamwork, and continuous improvement.