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# Data Analyst - Senior II

- **Company:** FedEx
- **Location:** Mumbai, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), Power BI, SQL Databases, Ab Initio, Information Technology
- **Published:** October 19, 2026
- **Apply:** https://fedex.wd1.myworkdayjobs.com/FXE-MEISA-External/job/FXE-MEISAINDBOMHQBOMHQMumbai/Data-Analyst---Senior-II_RC743765/apply

## About the Role

Bachelor's degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, economics or Finance.

Minimum Experience
Five (5) years of work experience in measurement and analysis, quantitative business problem-solving, operations analysis, marketing analysis, simulation development, and/or predictive analytics.

Knowledge, Skills and Abilities:
Proficiency in analytics software and applications. Good interpersonal skills. Good written and oral communication skills.

Fluency in English
Analytical Skills
Accuracy & Attention to Detail
Numerical Skills
Planning & Organizing Skills
Presentation Skills
Statistical Knowledge
Data Modelling and Visualization Skills
SQL, Python, ETL (Ab Initio, etc.)
Data visualization (Power BI, etc.)

Location: BOMHQ

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

## Description

Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling visualizations, supporting data projects, and ensuring data accuracy and integrity., 1. Conduct data analysis to extract actionable insights and drive decision-making.

 2. Explore and visualize datasets to uncover patterns, trends, and anomalies.
 3. Analyze historical data to identify trends and develop forecasts for future performance.
 4. Investigate and identify root causes of issues or discrepancies in data.
 5. Provide training and support to users on data analysis tools and techniques.
 6. Communicate findings and insights through compelling data visualizations and narratives.
 7. Support data-related projects by providing analytical expertise and insights.
 8. Ensure data accuracy, completeness, and integrity through quality assurance processes.