Data Analyst Researcher
4 weeks ago
The INSEAD Stone Centre for the Study of Wealth Inequality was founded in 2017 to serve as a venue for the research and teaching of income and wealth inequality issues in a business school environment. By convening an interdisciplinary team of scholars from across INSEAD, the Centre aims to generate new insights about inequality problems and business working together with government to solve them.
Job DescriptionThis position is ideal for a recent university or Master's graduate looking to develop their research skills in economics. It will provide the candidate with great preparation for PhD programme entry by training the applicant in doing research, giving him/her access to some PhD training and developing a relationship with potential letter writers.
The role involves working with Professors Pushan Dutt and Lin Tian on various projects related to inequality, broadly defined. The ideal candidate should have strong data management and data analyses skills, particularly software packages such as STATA, R, Matlab and Python. Skills in STATA are especially valuable.
Required Skills and Qualifications- Bachelor's or Master's degree in economics, computer science, statistics, or mathematics preferred.
- Fluency in written and oral English is required.
- Knowledge of STATA is required. At least one other programming language (Python, Julia, Matlab, SAS or R) is a plus.
- Strong analytical/empirical skills
- Ability to work independently and in small teams
- Excellent work ethic
- Excellent organizational and oral/written communication skills
- Strong motivation and high academic values
We offer a competitive salary estimated at €40,000 per year, considering the location and requirements of the position. Additionally, successful applicants may start as soon as possible.
How to ApplyTo be considered for the position, please submit your application package including a cover letter, curriculum vitae, academic transcripts, any writing or research work sample, and name and contact details of two potential references.
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