Data Analyst Senior II

Fedex; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

FedEx in Bengaluru seeks a Data Analyst to lead advanced analytics across data sources, building models and actionable insights. You will drive pricing and revenue insights, planning initiatives end-to-end with minimal supervision and presenting results to leadership.

Ideal candidates have strong analytics, statistics, and ML/AI exposure, with experience in pricing analytics and stakeholder management. Bachelor's or MBA-level education is expected; this role is on-site in Bengaluru.

Qualifications

• Relevant analytics/consulting/informatics experience with statistics.
• Skills in data analytics, statistics, predictive modelling and stakeholder management.
• Experience in pricing and revenue management is a plus.
• Exposure to predictive analytics or ML/AI techniques is advantageous.
• Education as listed: advanced degree preferred.

Responsibilities

• Lead advanced analytical processes including data/text mining and model development.
• Plan initiatives from concept to execution with minimal supervision.
• Develop pricing/revenue insights and present findings to leadership.
• Provide regular consultative analytics to senior leadership and cross-team support.
• Communicate results to diverse audiences and drive data-driven decisions.

Skills

Data and Business Analytics

Advanced Statistics and Predictive Mod

Stakeholder Management

Project Management

Education

MBA/Masters in Information Systems or CS or quantitative discipline

Bachelor's degree in CS/MIS/Math/Statistics

Tools

Oracle

SQL Server

Teradata

SAS

Python

Tableau/PowerBI/Spotfire

Job description

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.

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: Bengaluru

Scheduled Weekly Hours: 48

Worker Type: Regular

Posting Start Date: 13-Aug-2026

Posting Close Date: 18-Aug-2026

Job Family: FXE-MEISA: Data Analyst

Position Summary:

Grade - T5

What your main responsibilities are:

Job purpose:

Lead and implement advanced analytical processes through data/text mining, model development, and prediction to enable informed business decisions. Apply sound analytical expertise to examine structured and unstructured data from multiple disparate sources to provide insights and recommend high-quality solutions to leadership across levels.

Plan initiatives from concept to execution with minimal supervision and communicate results to a broad range of audiences. Develops a superior understanding of pricing and revenue management through internal and external sources to creatively solve business problems and lead the team from concept to execution of projects.

Typically uses data, statistical and quantitative analysis, modeling, and fact-based management to drive decision-making. Provides regular expert consultative advice to senior leadership. Effectively shares best practices and fosters knowledge sharing across teams. Provides cross-team and cross-org consultation and supports communities of practice excellence.

Accountabilities

Leadership

• Lead cross functional projects and programs formally preparing and presenting to management
• Routinely work on multiple highly complex assignments concurrently
• 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
• 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

Qualifications & Specifications

• 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 pricing and revenue management - yield management, customer segmentation analytics, revenue impact 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, operations research, economics & statistics from tier 1/2 institutes
• Tools - Oracle, SQL Server, Teradata, SAS, Python, Tableau/PowerBI/Spotfire
• Good to have - cloud computing, big data, Azure

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