Senior Analyst, Value Enablement & Optimization

Position Overview:

• This is a techno-functional position that combines strong technical skills with a deep understanding of business needs and requirements with 4-7 years of experience.
• The role focuses on developing and maintaining advanced value quantification frameworks for various offerings in Services business unit. As a Sr. Analyst, you will be responsible for creating and optimizing value frameworks, connecting and aligning with stakeholders and internal teams. The role requires close collaboration across teams to ensure the solutions meet business needs and deliver measurable impact.

Role Responsibilities:

• Building scalable frameworks: Build scalable value quantification frameworks for offerings across Services organization.
• Data Analysis and Reporting: Utilize advanced analytical tools such as Excel, R, Python, and Tableau to analyze data and generate actionable insights. Develop and maintain dashboards and reports to track key performance metrics.
• Project Management: Manage and document processes, develop timelines, and support risk mitigation for various projects. Ensure compliance with Mastercard standards and facilitate investigative and reporting initiatives.

Role

• Collaboration: Work closely with cross-functional teams, including marketing, IT, and customer service, to support the evolution of programs and improve customer engagement. Liaise with global customers to identify opportunities for program improvement.
• Strategic Thinking: Derive and translate data analytics to meet business goals. Identify opportunities to optimize and improve the performance of existing initiatives.
• Communication: Interface with internal and external customers to effectively communicate and educate on program rules, procedures, and best practices. Develop and implement action plans to address vulnerabilities and weaknesses.
• Research and Development: Perform desktop research to identify regional or global trends and develop key performance metrics and reporting. Assist with ad hoc requests and participate in special projects as required.

All about you:

• Analytical Skills: Strong analytical, investigative, and problem-solving skills. Experience with data visualization tools such as Tableau and business intelligence tools.
• Technical Proficiency: Proficiency in Microsoft Excel, Word, PowerPoint, and Access. Programming and coding ability is a plus.
• Project Management: Highly organized with strong attention to detail. Ability to manage multiple tasks and consistently meet established deadlines.
• Communication Skills: Excellent written and verbal communication skills. Ability to work independently and develop solutions in a fast-paced environment.
• Experience: Previous experience in a mid-level data analytics role, with clear professional development. Understanding of risk management disciplines.

Education:

• Bachelor s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field. Advanced degrees or certifications in analytics, data science, AI/ML, or an MBA are preferred.