Managing Consultant, Advisors & Consulting Services, Performance Analytics

Job Title:

Managing Consultant, Advisors & Consulting Services, Performance Analytics

Overview:

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 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.
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: https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard
Roles and Responsibilities
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
All About You
Basic qualifications
• Undergraduate degree in a quantitative field e.g. Mathematics, Physics, Engineering, Economics etc.
• Hands-on experience delivering Data Science and/or Analytics projects e.g. Machine-Learning, Clustering, Data Analysis , Business Intelligence etc.
• Experience coaching, leading, and managing technical 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
• 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
• 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
• Working knowledge of Cloud platforms (AWS; Azure; Google Coud) and latest GenAI models
• Master’s degree with relevant specialization such as advanced analytics, big data, or mathematical discipline (not required)

To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.