Job Description
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 Consultant, Advisors & Consulting Services, Business Experimentation Consultant – Business Experimentation Advisors & Consulting Services 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 Business Experimentation consultants advise executives on business decisions using Mastercard’s industry-leading predictive analytics SaaS platform, Test & Learn®. They work with customers to identify key priorities, then design and run business experiments to establish which ideas work and how to deploy them. 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 · Provide creative input on projects across a range of industries and problem statements · Contribute to the development of strategies and programs for regional and global clients by leveraging data science tools including Test & Learn® · 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 · Provide analytical and technical subject matter guidance and drive client success through Test & Learn® adoption and competency Team Collaboration & Culture · Collaborate with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients · Independently identify issues in defined area of analysis using Test & Learn®, 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 consulting leaders for professional growth and development Qualifications Basic qualifications · Undergraduate degree with work experience in consulting, technology, or data science, or proven work experience related to data driven analysis · Relevant teamwork and client or internal stakeholder management experience · Logical, structured thinking and affinity with numerical analysis · 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 · Ability to travel to client sites on a semi-regular basis Preferred qualifications · Additional relevant data and analytics experience in data modeling and database management (e.g., SQL), data visualization tools (e.g., Tableau, Power BI), or time series analysis and segmentation · Experience managing tasks or workstreams in a collaborative team environment with third parties · Ability to identify problems, brainstorm and analyze answers, and implement the best solutions · Relevant industry expertise
