Brief description

The purpose of the role is to act as an Associate Data Sourcing Methodologist under the supervision of the Data Sourcing Methodologist in designing and maintaining the implementation of data sourcing methodologies within Economic Statistics Department (ESD) to ensure data quality is maintained in the compilation process of economic statistics. 

Detailed description

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

• Assess and evaluate current data sourcing methodologies within ESD on an on-going basis; and where appropriate provide recommendations to the Data Sourcing Methodologist. 
• Continuously research data sourcing methodologies and frameworks in order to keep abreast of international standards.
• Provide support to the data sourcing methodologist in engagements with both internal and external stakeholders, through on-site visits and internal subject matter experts discussions and provide input in validating collection instruments and review business requirement specifications.
• Participate in the implementation of data sourcing methodologies under the instruction of the data sourcing methodologist to ensure that data quality standards are maintained.
• Draft project-based reports with respect to data sourcing methodologies, implementation, and data quality to ensure that data quality standards are maintained.
• Participate in relevant data management projects within the ESD based on the guidelines set by the data sourcing methodologist.
• Stay abreast with current data management methodologies and new developments in all knowledge areas and ensure supervised application thereof.

QUALIFICATIONS

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

• A minimum of a Degree in data science/statistics OR equivalent; and 
• A minimum of 1-2 years’ experience in a data sourcing environment.

Additional requirements include:

• knowledge and skill in:
• industry, organisational and business awareness;
• quality assurance;
• continuous improvement;
• continued learning and/or professional development;
• information management
• data integration and interoperability
• reference and master data knowledge 
• verbal and written communication skills;
• analysis and problem-solving; 
• ability to drive results;
• building and managing relationships;
• planning and organising 
• service and stakeholder focus;
• sound judgement and decision-making;
• innovation and creativity; and 
• impact and influence