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Mastercard

Consultant, Advisors & Consulting Services, Performance Analytics

Mastercard

Published 18 Feb 2026
San Jose, Costa Rica
Full Time

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Role Highlights

Languages used

Python
SQL

Key skills

Data Analysis
Computer Science
Problem Solving
Data Management
Risk Management
Information Security
Applied Mathematics
Quantitative
Search
Database
Statistics
Economics

Tools, Libraries and Frameworks

ARM
PowerPoint
Hadoop

Description

\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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, Performance Analytics Job Description Summary Overview of the Department MasterCard Advisors, the professional services arm of MasterCard Worldwide, provides payments-focused consulting, marketing, information and risk management services to financial institutions and merchants worldwide. With its unique category expertise, deep understanding of customer needs and successful track record in addressing complex challenges throughout the payments lifecycle, MasterCard Advisors addresses the challenges and opportunities of its clients, enhances MasterCard's strategic and tactical performance and establishes MasterCard's global thought-leadership pre-eminence. Are you motivated to develop data analysis, both quantitative and qualitative? Are your communication skills good enough to explain your ideas effectively? Are you willing to collaborate in a team of diverse skills and experience? The Role A Consultant is a team member who actively contributes to delivering consulting projects for MasterCard Advisors clients as well as internal project development. Forms part of the Data & Analytics team helping shape the future of data insights by leveraging billions of anonymized, aggregated transactions and data in a 10 petabyte data warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively Contribute towards the development of strategies and programs for large, strategically important regional and global clients Structure, perform and synthesize own analysis to uncover the insights that support our recommendations to clients Proactively search for knowledge, data and information by interacting with clients and other areas of MasterCard and MasterCard Advisors Apply a range of quantitative analytical techniques to rigorously identify client issues Develops recommendations, prepares materials and present findings at team meetings Contributes to proposal preparation Data management for database preparation and quality checks Data analysis using R, Python, SQL, Hadoop Builds presentations in PowerPoint to document team´s products and offerings All About You Bachelor degree in Statistics, Computer Science, Applied Mathematics, Actuarial Science, Industrial Engineering, Economics or other data driven analytics degree Strong, hands-on data analysis skills Professional level of English is required Knowledge on Python, SQL or R for data manipulation and analysis Experience using PowerPoint to make presentations to summarize results Strong analytical, interpretive and problem solving skills, including ability to interpret large amounts of data, some of it ambiguous, and translate it into concise rational output Team player with ability to work with all levels in a highly intellectual, collaborative, and fast paced environment Affinity to learning new to technologies (Hadoop, Spark, Impala) Nice to have: knowledge on Shinny for tool development \\\\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 Mastercards 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 Mastercards guidelines.

Required Qualifications and Skills

A Bachelor's degree in a data-driven analytics field such as Statistics, Computer Science, Applied Mathematics, Actuarial Science, Industrial Engineering, or Economics is required. The role necessitates strong, hands-on data analysis skills and professional-level English proficiency. Candidates must possess knowledge of Python, SQL, or R for data manipulation and analysis, and experience using PowerPoint for presentation of results. Strong analytical, interpretive, and problem-solving abilities are essential, including the capacity to interpret large, sometimes ambiguous data sets and translate them into concise outputs. An affinity for learning new technologies like Hadoop and Spark is also noted.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

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