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"
Company:
INT FedEx Express Transportation and Supply Chain Services (India) Pvt. Ltd.
City:
Gurugram
Scheduled Weekly Hours:
48
Worker Type:
Regular
Posting Start Date
20-Jul-2026
Posting Close Date:
23-Jul-2026
Job Family:
FXE-MEISA: Data Analyst
Position Summary:
Grade - T7
Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close Date
What your main responsibilities are:
Leadership
- Lead cross functional projects and programs formally preparing and presenting to management.
- Routinely work on multiple highly complex assignments concurrently.
- Provides consultation to Sr. Leadership on a regular basis.
- Curiosity and inquisitiveness - should be able to reason well and raise pertinent questions.
Exploration/Opportunity Identification
- Identifies available data, including internal and external data sources, works with internal and external subject matter experts to select the relevant sources of information.
- Explores data sets from a variety of different sources to gather, synthesize and analyze relevant data.
- Explores data to refine hypotheses, discover new relationships, insights and analytic paths from the data.
- Identifies latest technological advances that accelerate the data analytics of the enterprise.
Statistical Analysis & Evaluation
- Provides analytics expertise to solve in depth and technical problems. Develops design approaches to validate finding(s) or test hypotheses.
- Identifies/creates the appropriate algorithms to discover patterns, trends and clusters in related or unrelated variables.
- Gathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions to drive business decisions.
- Works in iterative processes with the customer/business partner and validates findings.
- Presentation/Strategic Recommendations
- Presenting senior executives with strong storytelling capability to drive insights out of data.
- Helps the business understand the data behind their results to gain stakeholder buy-in.
- Provides thought leadership and dependable execution on diverse projects.
- Leads discovery process with stakeholders to identify business requirements and expected outcome.
- Presents/frames business scenarios in ways that are meaningful and depicts their findings in easy-to-understand terms.
What we are looking for :
Qualifications & Specifications
- 8+ years of relevant experience in analytics/consulting/informatics and statistics
- Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management
- Experience in customer segmentation analytics, campaign analytics, etc. is a plus.
- Exposure to predictive analytics, ML/ AI techniques is an added advantage.
- Education – MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering from tier 1/2 institutes
- Tools - SQL, Python, Databricks, Data Visualization, PowerBI
- Good to have – Azure Analysis services, DS/ML experience
Analytical Skills, Accuracy & Attention to Detail, Planning & Organizing Skills, Influencing & Persuasion Skills, Presentation Skills
