Job Description

What can you expect as a FedEx team member?

• Career Mobility and Development: When you join FedEx, youxe2x80x99re joining a team with possibilities that literally span the worldxe2x80x94from 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 OpportunitiesOur 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:MumbaiScheduled Weekly Hours: 48Worker Type: RegularPosting Start Date 21-Mar-2025Posting Close Date: 21-Mar-2025Job Family: FXE-MEISA: Data AnalystPosition Summary:Grade - T5Please note that the Job will close at 12am on Posting Close date, so please submit your application prior to the Close DateWhat 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.: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.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
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: BOMHQEducation: 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) yearsKnowledge, 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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