Associate Managing Consultant, Advisors & Consulting Services - Performance Analytics at Mastercard

Roles and Responsibilities

Client Impact

• Provide creative input on projects across a range of industries and problem statements
• Contribute to the development of analytics strategies and programs for regional and global clients by leveraging data and technology solutions to unlock client value
• Collaborate with Mastercard team to understand clients’ needs, agenda, and risks
• Develop working relationship with client analysts/managers, and act as trusted and reliable partner

Team Collaboration & Culture

• Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients
• Independently identify trends, patterns, issues, and anomalies in defined area of analysis, and structure and synthesize own analysis to highlight relevant findings
• Lead internal and client meetings, and contribute to project management
• Contribute to the firm's intellectual capital
• Receive mentorship from performance analytics leaders for professional growth and development

Qualifications

Basic qualifications

• Undergraduate degree with data and analytics experience in business intelligence and/or descriptive, predictive, or prescriptive analytics
• Experience managing clients or internal stakeholders
• Ability to analyze large datasets and synthesize key findings
• Proficiency using data analytics software (e.g., Python, R, SQL, SAS)
• 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 in building, managing, and maintaining database structures, working with data visualization tools (e.g., Tableau, Power BI), or working with Hadoop framework and coding using Impala, Hive, or PySpark
• Ability to analyze large datasets and synthesize key findings to provide recommendations via descriptive analytics and business intelligence
• Experience managing tasks or workstreams in a collaborative team environment
• Ability to identify problems, brainstorm and analyze answers, and implement the best solutions
• Relevant industry expertise