About the Company

Mastercard is a global technology company in the payments industry, operating in more than 200 countries and territories. Its mission is to power economies and empower people by enabling secure, simple, and smart digital transactions. Through innovation, partnerships, and a robust global network, Mastercard delivers solutions that support businesses, governments, and individuals in achieving their financial goals.

The Mastercard Economics Institute (MEI) is an internal economics lab focused on generating data-driven insights to support a more inclusive and sustainable digital economy. By combining anonymized transaction data with public datasets, the institute produces actionable intelligence for customers, policymakers, and stakeholders worldwide.

Introduction

Mastercard is looking for a Software Engineer with strong expertise in R programming to join the Mastercard Economics Institute. This role focuses on building analytical tools, data visualizations, and scalable applications that translate complex economic data into meaningful insights.

The ideal candidate will work closely with economists, data scientists, and engineers to develop high-quality analytical outputs and interactive platforms. This is an excellent opportunity for individuals passionate about data, economics, and technology to contribute to impactful global initiatives.

Key Responsibilities

Data Analysis and Visualization

Create clear and compelling data visualizations to communicate economic insights effectively.
Develop interactive visualizations using tools such as Plotly, Highcharts, or D3.js.
Translate complex datasets into easy-to-understand visual narratives for diverse audiences.

Development and Automation

Develop reusable R functions, scripts, and packages to streamline data analysis and automation.
Create analytical content using R Markdown or Quarto for reporting and documentation.
Design and build scalable Shiny applications for interactive data exploration.
Write clean, maintainable, and well-documented code.

Data Engineering and Integration

Work with databases and data platforms such as SQL and Hadoop.
Perform data cleaning, transformation, and aggregation using R libraries.
Ensure efficient data handling and integration across systems.

Collaboration and Version Control

Collaborate with cross-functional teams including economists, engineers, and product owners.
Use version control systems such as Git for collaborative development.
Contribute to team workflows and ensure code quality through documentation and reviews.

Required Qualifications

Strong proficiency in R programming and familiarity with RStudio or Positron IDE.
Hands-on experience with R packages such as dplyr for data manipulation.
Experience writing SQL queries and working with relational databases.
Understanding of version control tools like Git, GitHub, or Bitbucket.
Strong analytical and problem-solving skills.
Ability to write clean, well-structured, and maintainable code.
Good communication skills and ability to work independently as well as in teams.

Preferred Qualifications

Experience building Shiny applications or interactive dashboards.
Familiarity with JavaScript charting libraries or frontend frameworks like React or Angular.
Knowledge of dependency management and documentation tools such as roxygen2.
Exposure to big data platforms such as Hadoop.
Interest or background in economics, data science, or analytics.

Why Join Us / Benefits

Opportunity to work with a globally recognized leader in digital payments and technology.
Exposure to real-world economic data and impactful global insights.
Collaborative work environment with economists, data scientists, and engineers.
Access to cutting-edge tools and technologies in data analytics and visualization.
Career growth opportunities in data engineering, analytics, and software development.