Want to get hired at Mastercard?
Consultant – Business Experimentation
Mastercard
Original Job Summary
Our Purpose
Mastercard powers economies and empowers people in over 200 countries and territories worldwide. Together with our customers, we help build a sustainable economy where everyone can prosper by making digital payments secure, simple, smart and accessible.
Title And Summary
Consultant – Business Experimentation within the Advisors & Consulting Services team. This role advises executives on business decisions using Mastercard’s predictive analytics SaaS platform, Test & Learn®.
Roles and Responsibilities
Client Impact:
- Provide creative input across diverse industries and challenges.
- Develop strategies using data science tools including Test & Learn®.
- Collaborate with client teams and act as a trusted partner.
- Deliver analytical guidance to drive test adoption and competency.
Team Collaboration & Culture:
- Work with senior consultants to identify key findings.
- Independently structure analysis to highlight relevant insights.
- Lead meetings and contribute to project management.
- Benefit from mentorship for professional growth.
Qualifications
Basic Qualifications: Undergraduate degree with experience in consulting, technology, or data science; advanced skills in Word, Excel, and PowerPoint; excellent communication in English and local language.
Preferred Qualifications: Experience in data modeling, database management (e.g., SQL), data visualization (e.g., Tableau, Power BI) and industry-specific expertise.
Corporate Security Responsibility
Adhere to Mastercard’s security policies, maintain confidentiality, report security incidents, and complete mandatory security trainings.
Key skills/competency
- Consulting
- Analytics
- Data Science
- Test & Learn
- Client Impact
- Project Management
- Strategy
- Collaboration
- Presentation
- Security
How to Get Hired at Mastercard
🎯 Tips for Getting Hired
- Customize your resume: Tailor your consulting experience for Mastercard.
- Highlight analytical skills: Emphasize data science and Test & Learn experience.
- Showcase collaboration: Detail teamwork and project leadership examples.
- Prepare for analytics: Brush up on SQL, Tableau, and Excel.