Data Analyst

As a Data Analyst at FedEx in Bengaluru/Bangalore, India, you will design and implement processes and solutions for diverse datasets. Your role involves data/text mining and analysis to support informed business decisions by examining structured and unstructured data from multiple sources. You will utilize current and emerging technologies to identify trends, develop actionable insights, and provide recommendations to management. This position encourages the use of data, statistical, and quantitative analysis to drive decision-making.

You will collaborate with global stakeholders to execute, validate, audit, and monitor revenue management and pricing strategies for strategic customers. Responsibilities include analyzing large datasets, creating compelling visualizations for decision-making visibility, and driving process improvements for enhanced customer experience. A strong understanding of core business concepts such as financial metrics, market dynamics, competitive landscapes, pricing models, revenue/cost structures, margins, and P&L is essential. Effective communication of results to diverse audiences using current and emerging technologies is expected.

Key Responsibilities:

• Collect, clean, and analyze large datasets to implement business rules.
• Assist in developing data-driven strategies and recommendations for business decisions.
• Collaborate with cross-functional teams to identify trends, patterns, and opportunities.
• Contribute to the continuous improvement of data quality and analytics processes.
• Ensure timely, accurate, and quality-checked setup of discounts and pricing transitions to FedEx Pricing systems, aligning with regional requirements.
• Transform and optimize pricing processes for improved efficiency, reduced turnaround times, and minimized human intervention through automation.

Qualifications:

• Bachelor's degree (or equivalent) in Computer Science, MIS, Mathematics, Statistics, or a related discipline.
• 2-4 years of experience as a Data Analyst or in a similar role.
• Proficiency in SQL, SAS, and Python.
• Experience with data visualization tools such as Power BI.
• Strong analytical skills with meticulous attention to detail to deliver accurate results and actionable recommendations.
• Good understanding of pricing models/systems, revenue & cost structures, contribution & operating margins, and P&L views.
• Excellent stakeholder management and communication skills for effective collaboration with team members across different regions and with senior management.
• Demonstrated skills in analytical thinking, accuracy & attention to detail, planning & organizing, influencing & persuasion, and presentation.