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.Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. Title and Summary Senior Analyst, Business Process ImprovementOverviewThe Data & Services team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centered on data-driven technologies and innovation, these services include consulting, loyalty and marketing programs, test-and-learn business experimentation, and data-driven information and risk management services. While specializing in the payments industry, Mastercard Data & Services also collaborates closely with major retailers, airlines, and other enterprises, leveraging data and insights garnered from within and beyond its network.RoleThe position is for the Insights & Enablement team, a global team focused on ensuring that all of Data & Services can make data-driven decisions and operate effectively and efficiently. This person will report contribute to drive business insights and process optimization within the global Data & Services by supporting the capacity planning exercise and automating / optimizing processes and support data-driven insights