MastercardSpecialist, Revenue Optimization & Analytics
Mastercard is hiring a Specialist, Revenue Optimization & Analytics in Bogotá, Colombia. Level rates it ; you can apply on Mastercard.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include SQL, Python and R.
- Level classifies it as a mid-level role.
- Level lists 1,000+ other open roles at Mastercard.
AI in this role
Conduct quantitative analyses, financial modeling, and revenue planning to support product and pricing strategies.
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 & AnalyticsOverviewAs 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.
How we rate this
Specialist, Revenue Optimization & Analytics at Mastercard rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where financial modeling was part of your work. What did you do?
- Tell me about a project where pricing strategy was part of your work. What did you do?
- Tell me about a project where revenue optimization was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Financial Modeling, Pricing Strategy, Revenue Optimization, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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