(753) Associate Economic Statistician - ESD at South African Reserve Bank

Detailed description

The successful candidate will be responsible for the following key performance areas:

• Collect, compile and analyse IEA statistics and associated macroeconomic indicators and share findings with more senior specialists.
• Populate, process and manage data across all relevant economic indicators and disciplines within the IEA area and maintain a comprehensive and accurate database.
• Check the accuracy of data received and processed, validate source data and frequently liaise with data providers.
• Assist in special projects across the department.
• Conduct methodological research to advance the maturity and quality of the relevant economic indicators.
• Analyse and reconcile input data, statistical and economic findings with other macroeconomic statistics using advanced business intelligence tools/applications.
• Monitor and analyse the conditions affecting the economy by keeping abreast of knowledge and developments in the assigned domain.
• Apply appropriate methodological standards, guidelines and principles in executing work in line with international best practices. 
• Stay abreast of new thinking in research and statistical methodologies, considering the implications of these changes to own work area.
• Compile thorough, comprehensive and descriptive reports.
• Collaborate with external stakeholders and represent the SARB in professional settings.
• Create and deliver impactful briefings and presentations on research findings and economic analysis to internal and external stakeholders.

Qualifications

Job requirements

To be considered for this position, candidates must be in possession of:

• an Honours degree in Economics, Statistics, Data Science and/or a related field, with some accounting background;
• two to five years of experience in the field of economic analysis, research and/or macroeconomics, microeconomics or financial economics;
• a proven track record in conducting and delivering high-quality economic analyses; and 
• proficiency in the use of Microsoft Office products such as MS Word, Excel and PowerPoint, including the ability to use tools (functions and formulas) to organise, analyse and adjust data.

The following would be an added advantage:

• the ability to program in ‘R’ and/or Python and related open-source software.