Publisher
source

FedEx

Data Analyst Position at FedEx (Bachelor’s/Master’s/MBA) – Data Science, Business Analytics FedEx in

Degree Level

Master's

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

FedEx

University

FedEx

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Keywords

Computer Science
Data Science
Decision Making
Statistical Analysis
Business
Quantitative Analysis
Data Mining
Business Analytics
Statistics

About this position

FedEx is seeking applications for the position of Data Analyst, open to candidates with a Bachelor’s, Master’s, or MBA degree. The role is available in Mumbai and Pune, India, and is suitable for both fresh graduates and experienced professionals. As a Data Analyst at FedEx, you will design and implement processes and solutions for a variety of data sets, supporting informed business decisions through data and text mining, statistical and quantitative analysis, and the use of current and emerging technologies. The position requires strong analytical skills, attention to detail, planning and organizing abilities, as well as influencing, persuasion, and presentation skills.

FedEx is recognized as one of the world's largest express transportation companies and is consistently ranked among the top 10 World’s Most Admired Companies by Fortune magazine. The company values diversity, equity, and inclusion, and is committed to providing growth opportunities for all employees. The Data Analyst role supports or leads projects by applying expertise in data analysis to contribute to divisional and corporate goals. The company culture emphasizes innovation, quality service, and the well-being of its team members.

This is a full-time, temporary position with a 48-hour work week. The application deadline is December 29, 2025. Interested candidates should apply online via the official FedEx careers portal. No specific funding or scholarship is associated with this position, as it is a professional employment opportunity rather than an academic studentship.

Key academic and research interests for this role include data analysis, business analytics, data mining, statistical analysis, and decision-making support. The position is ideal for those interested in applying data science and analytics to real-world business challenges in a global logistics and transportation environment.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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