\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\\ \\\\Title and Summary\\\\ Associate Managing Consultant, Performance Analytics Associate Managing Consultant Performance Analytics Advisors & Consulting Services Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercards rich data assets, proprietary platforms, and technologies to provide clients with powerful strategic insights and recommendations. Our teams work with a diverse global customer base across industries, from banking and payments to retail and restaurants. The Advisors & Consulting Services group has five specializations: Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Our Performance Analytics consultants translate data into insights by leveraging Mastercard and customer data to design, implement, and scale analytical solutions for customers. They use qualitative and quantitative analytical techniques and enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Positions for different specializations and levels are available in separate job postings. Please review our consulting specializations to learn more about all opportunities and apply for the position that is best suited to your background and experience: Roles and Responsibilities Client Impact Manage deliverable development and workstreams on projects across a range of industries and problem statements Contribute to and/or develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value Manage working relationship with client managers, and act as trusted and reliable partner Create predictive models using segmentation (ML) and regression techniques to drive profits AI/ML and analytics end-products to ensure accuracy, quality and timeliness. Adaptable to Gen AI and relevant knowledge Proactively seek new knowledge and structures project work to facilitate the capture of Intellectual Capital with minimal oversight Team Collaboration & Culture Develop sound business recommendations and deliver effective client presentations Plan, organize, and structure own work and that of junior project delivery consultants to identify effective analysis structures to address client problems and synthesize analyses into relevant findings Lead team and external meetings, and lead or co-lead project management Contribute to the firm's intellectual capital and solution development Grow from coaching to enable ownership of day-to-day project management across client projects, and mentor junior consultants Develop effective working relationships with local and global teams including business partners Qualifications Basic qualifications Undergraduate degree with Data science and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics Experience managing clients or internal stakeholders Ability to analyze large datasets (Big Data), data science modeling and synthesize key findings to provide recommendations via descriptive modeling and business intelligence Knowledge of metrics, measurements, and benchmarking to complex and demanding solutions across multiple industry verticals Data and analytics experience such as working with data science tools(Python, R, SQL, Machine Learning, Gen AI) and building, managing, and maintaining database structures Advanced Word, Excel, and PowerPoint skills Ability to perform multiple tasks with multiple clients in a fast-paced, deadline-driven environment Ability to communicate effectively in English and the local office language (if applicable) Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs Preferred qualifications Additional data and analytics experience working with Hadoop framework and coding using Impala, Hive, Python or PySpark and working with data visualization tools (e.g., Tableau, Power BI) Experience managing tasks or workstreams in a collaborative team environment Experience coaching junior delivery consultants Relevant industry expertise MBA or Masters degree with relevant specialization in Data Science (not mandatory) \\\\Corporate Security Responsibility\\\\ All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: \\+ Abide by Mastercards security policies and practices; \\+ Ensure the confidentiality and integrity of the information being accessed; \\+ Report any suspected information security violation or breach, and \\+ Complete all periodic mandatory security trainings in accordance with Mastercards guidelines.

The role requires an undergraduate degree with experience in data science and analytics, including business intelligence and descriptive, predictive, or prescriptive analytics. Candidates must have experience managing clients or internal stakeholders and the ability to analyze large datasets. Proficiency in data science modeling and synthesizing key findings for recommendations is necessary, along with knowledge of metrics, measurements, and benchmarking. Experience with data science tools such as Python, R, SQL, Machine Learning, and Gen AI, as well as building and maintaining database structures, is required. Advanced skills in Word, Excel, and PowerPoint are also essential.