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 I&E 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.
