Associate Managing Consultant, Advisors & Consulting Services, Performance Analytics/ Data Scientist

Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re 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, Advisors & Consulting Services, Performance Analytics/ Data Scientist Overview: 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 Mastercard’s 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. • Are you motivated by developing new consulting models, leading to insights into issues and developing recommendations that add real value to clients? • Can you develop key hypotheses and construct logical storylines? • Do you want to play a key role in driving a world beyond cash? Job Summary We are seeking an Analytics Manager with strong consulting and problem-solving skills. This is not a “back-office” analytics role – we need someone who can partner with business leaders, identify opportunities, and deliver end-to-end analytics use cases that drive measurable impact.   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 • Apply a range of quantitative and qualitative analytical techniques to rigorously identify client issues and synthesize analysis into clear, sound recommendations • Manage working relationships with client managers, and act as trusted and reliable partner 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 All About You Basic Qualifications • Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc. • Experience managing clients or internal stakeholders • Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc. • Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations • Experience with data analytics software (e.g., Python, R, SQL, SAS), and Data Visualization tools (e.g., Tableau, Power BI) • Experience building, managing, and maintaining database structures to support analysis • Advanced Word, Excel, and PowerPoint skills • Ability to manage multiple tasks and 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 • Demonstrable consulting skills or equivalent business management experience and internal consulting experience in a major financial institution or fintech • Experience managing tasks or workstreams in a collaborative team environment • Experience coaching junior delivery consultants • Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark • Relevant industry expertise • Master’s degree with relevant specialization such as advanced analytics, big data, or mats/ stats discipline 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 Mastercard’s 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 Mastercard’s guidelines. Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.