FedEx

Pricing Implementation Analyst - Data Analyst - I

FedEx Mumbai City, Maharashtra, India

Freight and Package Transportation · 10,001+ employees

Yesterday Closes in 4d
data-analyst Mid (2-5 yrs) Full-time India
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About the role

The analyst will conduct data analysis to extract actionable insights, identify trends, and develop performance forecasts. They are also responsible for ensuring data integrity and providing training on analytical tools to team members.

What they look for

Data analysis Data visualization Forecasting Root cause analysis Training Communication Data integrity Quality assurance Analytical skills Attention to detail Numerical skills Planning Organizing Presentation skills Statistical knowledge Data modeling

Requirements

Candidates must hold at least a bachelor's degree in a quantitative field such as Computer Science, Mathematics, or Statistics. A minimum of two years of relevant work experience in data analysis is required for this position.

Benefits

Career mobility Training programs Leadership programs Competitive benefits Flexible work arrangements Well-being programs

Full 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.

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:

Mumbai

Scheduled Weekly Hours:

42.5

Worker Type:

Regular

Posting Start Date

5-Nov-2026

Posting Close Date:

10-Nov-2026

Job Family:

FXE-MEISA: Data Analyst

Position Summary:

Grade - T2

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:

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.

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

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