Description
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
Associate Economics Analyst, Europe-2 Overview• The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard's efforts to build a more inclusive and sustainable digital economy
• MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers
• MEI is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company's product suites
About the Role
We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Director, Senior Economist, Europe, and will have the following responsibilities:
• Support client and stakeholder engagements for MEI across Europe
• Support collaboration with external clients, academic institutions, and industry partners.
• Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level.
• Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data
• Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level.
• Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level.
• Enhance existing products and partner with internal stakeholders to create new solutions.
• Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight
• Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to R&C economic research; share and leverage to continuously improve quality and productivity.
All About You
• Bachelor's degree in Economics (preferred), Statistics, or Mathematics.
• Proficiency in SQL and data visualizations
• Ability to think critically and problem solve, willingness to learn
• Excellent communication
• Expertise in R, Python, or other major programming language is essential
• Experience using data visualization tools like Tableau / Power BI.
• Knowledge of JavaScript for visualization is a plus.
• Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable
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.
Apply on company website
Find Connections via Linkedin
