Senior Data Analyst

3 months ago

Gurugram, India The Economist Full time

Introduction

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 make better trading, investment and policy decisions.

We’re changing, and 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.

The EIU is recruiting for a Senior Data Analyst, within the quantitative economics – an international team of data analysts, econometricians and data scientists – that is in charge of The EIU’s key economic data products and the statistical/econometric model assets that power the forecast and analysis published in the EIU’s core offerings.

Accountabilities

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.

Experience, skills and professional attributes

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, IRFMixed effect, multilevel, hierarchical modelsUnsupervised learning techniques like PCA and Factor AnalysisState space models like Dynamic Factor models (for applications like Nowcasting)Ridge/Lasso/Net-Elastic RegressionsLogistic 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 requiredExperience 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

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation , age or marital status.

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