\\\\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\\\\ Managing Consultant Performance Analytics 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 We are seeking an experienced 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. Client Impact · Lead client engagements across a range of industries and problem statements · Develop analytics strategies and programs for large, regional, and global clients by leveraging data and technology solutions to unlock client value · Own key relationships with mid-level to senior client stakeholders and independently assess client agenda, internal culture, and change readiness Team Collaboration & Culture · Lead team to creative insights and sound business recommendations, and deliver impactful client presentations while growing team members roles and skills · Provide analytical and day-to-day project delivery team leadership, and create a collaborative and inclusive environment for all levels · Collaborate with internal Mastercard stakeholders including Product and Business Development to scope projects, create relevant solutions for clients, and build the firm's intellectual capital · Provide on-the-job training, coaching, and mentorship to junior consultants Qualifications Basic qualifications · Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics · Experience coaching and managing teams across multiple projects · Experience managing key client relationships · Knowledge of business KPIs, financials and organizational leadership · Ability to identify new business development opportunities, and experience drafting proposals and scoping new opportunities · Analytical, interpretive, and problem-solving skills, including the proven ability to analyze large amounts of data and synthesize key findings and recommendations · Data and analytics experience such as working with data analytics software (e.g., Python, R, SQL, SAS), building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI) · 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 · Ability to travel to client sites on a semi-regular basis Preferred qualifications · Additional data and analytics experience in Hadoop framework and coding using Impala, Hive, or PySpark · Experience generating new knowledge or creating innovative solutions for a firm · Relevant industry expertise · Masters degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required) \\\\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 business intelligence and descriptive, predictive, or prescriptive analytics. Candidates must have experience coaching and managing teams across multiple projects and managing key client relationships. Knowledge of business KPIs, financials, and organizational leadership is necessary. The position also requires the ability to identify new business development opportunities and experience in drafting proposals and scoping new opportunities. Strong analytical, interpretive, and problem-solving skills are essential, with a proven ability to analyze large datasets and synthesize findings. Experience with data analytics software such as Python, R, SQL, or SAS, building and managing database structures, and working with data visualization tools like Tableau or Power BI is required. Advanced proficiency in Word, Excel, and PowerPoint is also necessary.