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Advisors & Consulting 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. We 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. This role spans Performance Analytics and Business Experimentation, enabling candidates to leverage data and experimentation to drive client impact.
Job Responsibility:
Provide creative input on projects across a range of industries and problem statements
Contribute to the development of analytics strategies and experimentation programs for regional and global clients by leveraging data science tools and technology solutions (including Mastercard’s Test & Learn® platform)
Collaborate with Mastercard teams to understand clients’ needs, agenda, and risks
Develop strong working relationships with client analysts/managers and act as a trusted partner
Provide analytical and technical subject matter guidance and drive client success through adoption of data-driven solutions
Collaborate with senior consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
Independently identify trends, patterns, and issues in defined areas of analysis, and synthesize findings into actionable insights
Lead internal and client meetings and contribute to project management
Contribute to the firm’s intellectual capital
Receive mentorship from consulting leaders for professional growth and development
Requirements:
Undergraduate degree with experience in data analytics, data science, consulting, or technology
Strong analytical skills with ability to work with large datasets and synthesize key findings
Proficiency in data analytics tools (e.g., Python, R, SQL, SAS) and/or experience with experimentation platforms (e.g., Test & Learn®)
Advanced Word, Excel, and PowerPoint skills
Ability to manage multiple tasks in a fast-paced, deadline-driven environment
Excellent communication skills in English and local office language (if applicable)
Eligibility to work in the country of application and ability to travel as required
Nice to have:
Experience with data visualization tools (e.g., Tableau, Power BI)
Familiarity with database management, Hadoop frameworks, or coding using Impala, Hive, or PySpark
Experience in time series analysis, segmentation, or predictive modeling
Ability to identify problems, brainstorm solutions, and implement best practices