Job
Description
Role Responsibilities Value Quantification Proof of Concept Tool Development Assist in developing and enhancing AI-driven analytics POC to help internal teams quantify the value of Mastercard s services, enabling effective communication of service value and boosting customer engagement. Partner with IE team closely to achieve the same. Insight Generation Reporting Help generate actionable insights from business analytics, providing clear, data-backed recommendations for pre-sales efforts, pricing optimization, and customer engagement. Revenue Optimization : Drive sustainable revenue growth through capitalization of revenue opportunities, optimization of pricing strategies, and implementation of revenue assurance processes End-to-End Project Management: Lead cross-functional projects independently, engaging with teams across Sales, Finance, Product, Technology, and Billing to deliver impactful outcomes. Executive Storytelling: Create clear, concise, and visually compelling PowerPoint presentations to effectively communicate insights and recommendations to senior stakeholders. What You Bring We re looking for a dynamic professional with a unique blend of analytical, organizational, and collaborative capabilities. The ideal candidate will possess: Intellectual Curiosity: A deep eagerness to learn about Mastercard s Services business, technical systems, economic drivers, and billing processes. Analytical Expertise: Advanced quantitative analysis skills to develop accurate financial models, identify key insights, and drive informed decision-making. Project Management Excellence: Proven ability to decompose complex projects into actionable steps, prioritize effectively, and execute on time in a fast-paced environment. Stakeholder Collaboration: Experience building trust and fostering productive relationships across diverse teams and functions. Technical Proficiency: Advanced Excel skills and a strong understanding of financial modeling. Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus. Experience: Five or more years of relevant experience in finance, data analytics, or a related field.
