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Data Analyst - Senior II

Summary

The Senior II Data Analyst designs and implements data solutions to drive business decisions through statistical analysis, forecasting, and visualization. The role involves developing analytical tools using SQL, Python, and Java, while mentoring team members and presenting insights to management.

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:

48

Worker Type:

Regular

Posting Start Date

21-Aug-2026

Posting Close Date:

30-Aug-2026

Job Family:

FXE-MEISA: Data Analyst

Position Summary:

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:

Under moderate supervision, designs and implements processes and solutions associated with a wide variety of data sets used for data/text mining, and analysis to enable informed business decisions. Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine structured and unstructured data from multiple disparate sources. With moderate direction, creates solutions from initial concept to production. Communicates results to a broad range of audiences. Effectively uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis. Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. Mentors team members. Works in cross functional projects and programs. Routinely presents to management.

Job Description:

1. Conduct commercial, sales and related analysis with accuracy, quality, and adherence to service level commitments.

2. Analyse, explore, and visualize data to identify trends, patterns, anomalies, and actionable insights that support business decision-making.

3. Analyse historical data and develop forecasts to evaluate performance and predict future outcomes.

4. Ensure data accuracy, completeness, and integrity through robust quality assurance and governance practices.

5. Investigate data issues, identify root causes, and implement timely resolutions while ensuring stakeholder satisfaction.

6. Communicate insights and recommendations through effective data visualizations, reports, and storytelling.

7. Partner with cross-functional teams to gather requirements, validate solutions, and identify opportunities for process improvement and business transformation.

8. Support data-driven projects and transformation initiatives by providing analytical expertise and business insights.

9. Design, develop, test, and deploy analytical tools and solutions using SQL, Python, Java, PowerApps, Excel, AI, and related technologies.

10. Develop and maintain SOPs, process documentation, training materials, and knowledge repositories to drive standardization, governance, and operational excellence.

11. Provide user training and support on data analysis tools, techniques, and best practices.

What are we looking for :

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

Minimum Experience

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

Advanced Excel, presentation, and storytelling capabilities

Expert-level data visualization skills, specifically using BI tools (Power BI..etc) to build automated, complex dashboard systems (basic reporting skills will not suffice)

Advanced Hands-on experience in SQL, Python, Java and/or related languages for frontend and backend application & solutions development

Demonstrated ability to manage multiple priorities, support cross-functional initiatives, and drive continuous improvement.

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

See also

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