Dynamic Yield, a Mastercard company, is a global technology leader in payments, dedicated to building an inclusive, connected, and secure digital economy. We're seeking a passionate and data-driven Specialist, Revenue Acceleration to join our Revenue Management team. This role is crucial for driving revenue acceleration projects, requiring strong cross-functional collaboration and the ability to translate business needs into effective, data-informed solutions that will shape the future of revenue management at Mastercard.
Role Responsibilities
As a Specialist, Revenue Acceleration, you will focus on two critical areas:
- Revenue Optimization: Drive sustainable revenue growth by identifying and capitalizing on revenue opportunities.
- Optimize pricing strategies for maximum impact.
- Implement robust revenue assurance processes.
- Insight Generation & Reporting: Generate actionable insights from business analytics.
- Provide clear, data-backed recommendations for pre-sales efforts, pricing optimization, and customer engagement.
- 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:
- 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.
