R Developer

Job Locations India-Gurgaon


EIU logo


The Economist Intelligence Unit (EIU) is a world leader in global business intelligence. We help businesses, the financial sector and governments to understand how the world is changing and how that creates opportunities to be seized and risks to be managed.


At our heart is a 50 year forward look, a global forecast of the majority of the world’s economies, we seek to analyse the future and deliver that insight through multiple channels and insights, allowing our clients to take better trading, investment and policy decisions.


We’re changing, embedding alternate data sources such as GPS and satellite data into our forecasting, products will increasingly be tailored to individual clients, driven by some of the most innovative data in the market. A highly collaborative team of Product Managers, Customer Experience and Product Engineering is being created with a focus on creating business and customer value driven by real time analytics alongside our traditional products.


We are recruiting an R Developer  to accelerate The Economist Intelligence Unit (eiu.com) drive towards becoming a digitally enabled business at scale. We are actively changing our landscape, from supporting desktop data tools, Excel analysis and visualisation pipelines to Cloud scale big data analysis on AWS. Effective Data management is essential for the research and analysis division of the Economist Group. 


How you will contribute:


  • Document quantitative models in R: Work closely with a team of economists and econometricians to document existing quant models in Excel, that powers the EIU’s country and industry forecast, using R Markdown and R Shiny
  • Testing and validation: Setup necessary processes and environments to enable model validations
  • Documentation: Record the models and model schemas in relevant repositories (eg: Github and others) 
  • Collaborate across departments: Work in close relationship with data engineering teams and with business (economists/data) analysts in refining their data requirements for various initiatives and data consumption requirements

Experience, skills and professional attributes

The ideal skills for this role include:

  • Excellent communication skills, being able to describe technical implementations to non-technical people.
  • Strong experience with R programming language, R-Markdown and R-Shiny
  • Good knowledge of statistical modeling and machine learning libraries in R
  • Experience with Microsoft Excel, VBA and SQL 
  • MS SQL Server (T-SQL, and SSIS) for managing business data 
  • Knowledge or experience in statistical modeling–especially in the domain of economic and financial data–would be an advantage
  • Experience in publishing shiny apps and markdown docs through RStudio Connect would be an advantage
  • Experience in using GitHub
  • A combination of IT skills, data governance skills and analytics skills


To succeed in this role it would be an advantage if you possess:

  • An advanced degree in computer science (MS), statistics, economics, applied mathematics (Ph.D.), information science (MIS), data management, information systems, information science (post graduate diploma or related) or a related quantitative field or equivalent work experience
  • Experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms


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