Data Analyst - Lead

Role & responsibilities

• Collaborate with regional teams to ensure the timely and accurate implementation of discount structures and the seamless transition to FedEx Pricing systems.
• Gain extensive knowledge of FedEx pricing processes, relevant tools, and systems.
• Assist in developing data-driven strategies and recommendations for business decisions.
• Transform, optimize Pricing processes for improved efficiency, reduced turnaround times and human intervention through process automation.
• The person should be able to effectively coordinate with cross-functional teams and various regional pricing teams across the geographies to meet critical timelines for bid pricing, associated tasks & initiatives, while ensuring process compliance & meeting audit requirements • Conduct in-depth analysis of customer needs, RFP requirements, and competitive landscape to optimize profitability and win rates.
• Identify relevant KPIs / metrics for business performance and develop dashboard/ reports
• Design, document, and implement comprehensive policies and procedures for pricing analysis and approval processes.
• Develop and oversee robust internal controls and compliance frameworks to mitigate revenue leakage risks.
• Take ownership and accountability for end-to-end deal execution; coordinate/ partner with cross-functional teams globally and ensure timely delivery of high-quality outputs
• Collaborate effectively (Stakeholder Management) with team members across different regions to achieve common goals, effective communication skills to communicate with people across all levels including senior management

Preferred candidate profile

Technical:

a. Python b. SQL c. Visualization (PowerBI, Spotfire, tableau, Qlicksense, etc.) d. Descriptive Statistics

• Functional: a. Consultative mindset b. Stakeholder management c. Insights generation
• Behavioral: a. Business communication and articulation b. Innovative mindset c. Adaptable
• Strong Financial Acumen and analytical skills to deliver accurate results & actionable recommendation.
• Good understanding of pricing models/systems, revenue & cost structures, contribution & operating margins, and P&L views
• Being a team player, supportive to other team members and collaborative across functions
• Minimum 6-10 years of experience as a Data Analyst or similar role
• Must have - Demonstrated expertise in Python, SQL, and Advanced Excel with exposure to any visualization tools (PowerBI, Spotfire, tableau etc)
• Good to have: Knowledge of Azure Databricks Experience in developing creative and impactful PowerPoint presentations using Canva/PowerPoint