Job Title:
Software Engineer - R
Overview:
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
• The Economics Institute 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
• The Institute 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 presentations, global thought leadership, media participation, and commercial work through the company’s product suites
About the Role
We are looking for an R programmer to join Mastercard’s Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will:
• create clear, compelling data visualisations that communicate economic insights to diverse audiences
• develop reusable R functions and packages to support analysis and automation
• create and format analytical content using R Markdown and/or Quarto
• design and build scalable Shiny apps
• develop interactive visualisations using JavaScript charting libraries (e.g. Plotly, Highcharts, D3.js) or front-end frameworks (e.g. React, Angular, Vue.js)work with databases and data platforms (eg. SQL, Hadoop)
• write clear, well-documented code that others can understand and maintain
• collaborate using Git for version control
All About You
• proficient in R and the RStudio IDE or Positron IDE
• proficient in R packages like dplyr for data cleaning, transformation, and aggregation
• familiarity with dependency management and documentation in R (e.g. roxygen2)
• familiar with version control concepts and tools (e.g. Git, GitHub, Bitbucket) for collaborative development
• experience writing SQL and working with relational databases
• creative and passionate about data, coding, and technology
• strong collaborator who can also work independently organized and able to prioritise work across multiple projects comfortable working with engineers, product owners, data scientists, economists
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
