Associate Analyst, R Programmer

Position: Associate Analyst, R Programmer-1
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 presentation, 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 Economics Technology. An individual who will:
create clear, compelling data visualizations 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 visualizations 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
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, Git Hub, 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