Economist (Data Analytics)

Ministry of Energy, Trade and Industry, Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

The Economist Service within the Ministry of Energy, Trade and Industry, Singapore, invites applications from economists to support public policy with rigorous data analysis and econometric methods.

You will work across ministries, use real-time data, build predictive models and dashboards to inform policy decisions, with emphasis on trade, labour, digitalisation.

Strong analytical skills and ability to communicate insights clearly are essential.

Qualifications

• Degree/Masters/PhD in Economics or quantitative disciplines.
• Strong empirical research experience.
• Strong quantitative skills for forecasting, policy modelling, simulations.
• Experience with large real-time datasets.
• Excellent communication, ability to present complex ideas clearly.
• Proficiency with STATA, R, Python and Tableau.

Responsibilities

• Apply econometrics and data science techniques on big datasets to address policy questions.
• Work on data analytics projects in areas like trade, labour, digitalisation.
• Enhance surveillance with real-time data and predictive modeling.
• Use text analytics to identify emerging topics from media.
• Communicate insights via accessible dashboards to stakeholders.

Skills

Econometrics

Data analysis

Policy analysis

Forecasting

Communication

Education

PhD in Economics

Masters in Quantitative Field

Tools

STATA

R

Python

Tableau

Job description

What The Role Is

The Economist Service is the premier service for economists in the Singapore public sector. By developing a core group of professional economists, the objective of the Economist Service is to sharpen economic analysis in the public sector in order to improve public policies.

Economists in the Economist Service undertake economic research and analysis in many Ministries and agencies across the public sector. These include the Ministry of Energy, Trade and Industry, Ministry of Finance, Ministry of Manpower, Ministry of Social and Family Development, Ministry of Health, and Ministry of Sustainability and the Environment. Through postings to diverse Ministries and agencies, the economists contribute their expertise to inform a wide range of public policies, from economic policies to fiscal, socio-economic, health, security and infrastructural policies.

What You Will Be Working On

You will be part of a team of economists who apply techniques in econometrics, data science and Artificial Intelligence on novel and big datasets in order to address policy questions. Specifically, you will work on data analytics projects covering areas such as trade and internationalisation, labour market and digitalisation, with the objective of extracting data-driven insights to improve policy outcomes and policy formulation.

You will also help to enhance economic surveillance capabilities in the Ministry of Energy, Trade and Industry through the use of real-time and high-frequency data, as well as predictive modelling. In addition, you will make use of text analytics to actively identify emerging topics from various media sources to be studied by the Economics Division.

To effectively engage various stakeholders, you will be required to communicate the insights and findings from your projects in accessible, visual forms such as dashboards.

What We Are Looking For

• Degree / Masters / PhD in Economics and other quantitative disciplines such as Statistics, Applied Mathematics, Computer Science, Data Analytics, Engineering, or related disciplines.
• Strong passion for empirical research and extensive experience in solving complex problems using quantitative approaches.
• Strong quantitative skills (e.g., econometrics and data science) for forecasting, policy modelling and simulations, as well as impact evaluation studies.
• Experience working with large real-time datasets.
• Excellent communication skills and the ability to express complex ideas simply and logically.
• Proficiency with statistical/programming software (e.g., STATA, R, Python) and relevant visualisation techniques (e.g., Tableau).