What can you expect as a FedEx team member?
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"
INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.City:
MumbaiScheduled Weekly Hours:
48Worker Type:
RegularPosting Start Date
15-Jan-2026Posting Close Date:
Job Family:
FXE-MEISA: Data AnalystPosition Summary:
Grade : T5
Please note: The job will close at 12am on the Posting Close date. Submit your application before then.
What your main responsibilities are:
Develop competitive pricing strategies with sales and marketing to optimize profitability and win ratio.
Build strong stakeholder relationships across functions and regions.
Identify process gaps and drive improvements to enhance efficiency and customer experience.
Analyze P&L and recommend margin/yield improvements.
Act as a technical expert, supporting management with complex analysis and projects.
Mentor new joiners and collaborate with the team to deliver results.
Strong analytical skills, commercial acumen, attention to detail, influencing and presentation skills. Knowledge of Power BI, SQL, Python, or project management is a plus.
Collaboration, quality work, leadership on projects, and eagerness to learn and grow.
Competitive salary, tuition assistance, incentives, and a great work environment.
Career growth through promotions, rotations, and cross‑functional projects.
24/7 learning platforms, hybrid work options, health & wellness programs, and employee discounts.
Education: Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or similar discipline. Master's degree or PhD preferred.
Relevant work experience as in data analysis based on the following number of years:
Standard I: Two (2) years
Standard II: Three (3) years
Senior I: Four (4) years
Senior II: Five (5) years
Knowledge, Skills and Abilities
• Fluency in English
• Analytical Skills
• Accuracy & Attention to Detail
• Numerical Skills
• Planning & Organizing Skills
• Presentation Skills
• Statistical Knowledge
• Data Modeling and Visualization Skills