Senior Data Analyst - Economics
The Economist Group
- Gurgaon, Haryana
- Permanent
- Full-time
- Lead the development of modelling/analytics for in-house statistical/econometric models
- Support a diverse range of bespoke forecasting and quantitative research projects, in particular on data collection, data cleaning, analytics and econometric modelling tasks, working under the supervision of project leads
- Conduct review of relevant literature to develop new methodologies or augment existing models
- Work closely with Data Engineering team to setup the analytics workflow and model deployment
- Lead deployment of model validation process and relevant quality assurance
- Work closely with the Senior manager and Team Leads to develop and implement divisional strategy and solutions
- Represent the Economics Unit to internal stakeholders, including the global sales & marketing team and EIU Management Committee, conveying a sense of market knowledge and commercial awareness
- Liaise with multiple stakeholders in the company, including editorial leads, principal economists, other Directors, commercial and digital
- An advanced degree in statistics, mathematics, applied econometrics, applied economics, business economics or a related quantitative field
- 2-4 years of proven experience in statistical analysis and applied econometric modelling, especially in any of the following areas
- Time series models - ARIMA,Vector Autoregression, Co-integration, Error Correction Models, IRF
- Mixed effect, multilevel, hierarchical models
- Unsupervised learning techniques like PCA and Factor Analysis
- State space models like Dynamic Factor models (for applications like Nowcasting)
- Ridge/Lasso/Net-Elastic Regressions
- Logistic Regressions and similar classification models
- Experience with machine learning models or estimating econometric models with ML elements, like cross validations and bootstrapping would be good to have
- Prior domain experience in macro forecasting, economics or financial research would be good to have
- Prior experience in applications of empirical and non-empirical methods (structural/semi-structural) for the purpose of macroeconomic forecasting will be good to have
- Proficiency in programming languages - R and Python is required
- Experience of working with key R libraries like tidyverse and ggplot2 (if proficient in R) or key Python libraries like Pandas, Numpy and Matplotlib (if proficient in Python)
- Experience with R-Shiny and R-Markdown will be good to have (if proficient in R) or Jupyter notebook (if proficient in Python)
- Advanced Excel skills – experience with formula auditing, manipulating and cleaning large data sets in excel, knowledge of advanced functions like VLookup/HLookup, Match, Offset, Index, Indirect, Nested If-Then-Else and similar
- Proficiency with SQL, to query databases will be good to have
- Excellent communication skills