Jobs Companies Mastercard Specialist, Revenue Optimization & Analytics

Über diese Specialist, Revenue Optimization & Analytics Stelle bei Mastercard

Mastercard · Vor Ort · Bogota, Colombia

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

Specialist, Revenue Optimization & Analytics

Overview

As an Specialist in the Revenue Optimization & Planning team, you will support the development of product strategies, pricing initiatives, revenue planning, and lifecycle management across Mastercard's products and services.


You will work in a truly global environment, partnering closely with Product, Finance, Regional teams, and other cross-functional stakeholders to develop data-driven analyses and support the implementation of strategic initiatives. This role offers significant exposure across the organization and provides an excellent opportunity to develop expertise in payments, product strategy, pricing, and revenue economics.

The ideal candidate is a data-driven, innovative, and collaborative problem solver with a passion for delivering impactful insights that drive customer and revenue success.


In This Role, You Will:
• Conduct quantitative and qualitative analyses to support strategic decision-making and business planning.
• Analyze market trends, customer needs, industry developments, and competitive dynamics to identify opportunities for growth.
• Gather, structure, and analyze large datasets to generate actionable business insights using tools such as SQL, Python, R, or similar analytical platforms.
• Perform financial impact assessments, scenario analyses, and revenue forecasting at the product, customer, market, and regional levels.
• Assist in the design, evaluation, and optimization of pricing models for Mastercard products and services.
• Prepare recommendations, presentations, and materials for leadership reviews and decision-making processes.
• Participate in cross-functional projects involving Product, Finance, Account Management, Operations & Technology, Legal, and Regional teams.


All About You
• Bachelor's degree in Business, Economics, Finance, Engineering or a related field.
• Experience with data analysis and financial modeling is preferred.
• Knowledge of SQL or Python, Power BI or Tableau, or similar analytical tools is required.
• Strong analytical and problem-solving skills, with a passion for using data to solve business challenges.
• Curious and eager to learn about the payments industry, digital commerce, and product economics.
• Comfortable translating complex analyses into clear business recommendations.
• Able to effectively manage multiple priorities in a dynamic and fast-paced environment.
• Strong organizational, communication, and stakeholder management skills.
• Self-motivated, collaborative, and results-oriented.
• Ability to communicate in English is required.
• Availability to be in the office 3 times per week.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.




Bereit, sich bei Mastercard zu bewerben?
Bei Mastercard bewerben

Über Mastercard

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.

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