Analyst – Principal Analyst

[What the role is]

You will leverage on your statistics and data science background to undertake quantitative research to drive better decision making for the energy sector. The key responsibilities of the officer include:

Responsibilities:
- Undertaking data use and management (e.g. data collection, surveys, processing, compilation, analysis, reporting and publication) of energy statistics as part of Singapore Statistics System. This includes working with and reporting statistics to other government agencies and international organisations.
- Supporting Chief Data Officer (CDO) to (i) set the future direction of data strategy and processes, (ii) develop and implement data governance framework to strengthen the management of data across its life cycle and ensure EMA's datasets are adequately safeguarded and handled; and (iii) build and upskill data analytics capabilities of officers within EMA.
- Exploring the use of statistical, advanced data analytics and machine learning techniques for predictive analytics and unlocking insights from data in the energy sector to solve EMA's strategic issues, and support decision making and policy formulation. This involves working with business users, project teams, industry partners and other government agencies on analytics use cases, data exchanges and develop deployable solutions to deliver use case outcomes.

Requirements:
- Education in Statistics, Data Science, Economics, or other related disciplines with substantial quantitative content should apply.
- Knowledge in forecasting models and/or the energy sector would be an advantage.
- Relevant working experience, especially in handling data analytics or AI/ML projects, would be an advantage. Fresh graduates are also welcome to apply.
- Excellent analytical, coordination and communication (written and verbal) skills are critical for this position.
- Applicants must possess an independent problem-solving mindset with a strong desire to find innovative and 'out of the box' solutions to problems.
- Applicants must have experience with using SAS, SQL, Python, R and/or any other major programming language for data science and applications.
- Applicant must be a committed team player, with a strong interest to shape Singapore's energy landscape.

[What you will be working on]

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[What we are looking for]

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