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From the employer's careers site First seen 1 Nov 2026

Consultant – Business Experimentation Advisors & Consulting Services

The employer hasn't listed a salary.

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Description

Mastercard's 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.

As a Consultant – Business Experimentation, you will provide creative input on projects across a range of industries and problem statements. You will contribute to the development of strategies and programs for regional and global clients by leveraging data science tools including Test & Learn®. You will collaborate with Mastercard team to understand clients' needs, agenda, and risks, and develop working relationships with client analysts/managers.

Key responsibilities:

  • Provide analytical and technical subject matter guidance and drive client success through Test & Learn® adoption and competency
  • 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

Requirements:

  • 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)

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

Skills

Required

Nice to have

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