Data Analyst - RSD at South African Reserve Bank

Brief description

The purpose of this position is to analyse and provide insight into the current state of data and its maturity in order to support reliable and effective decision making within the Prudential Authority (PA). 

Detailed description

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

• Prepare and provide accurate and reliable data and information in support of strategic decisions.
• Discover data by applying data discovery mechanisms in order to establish the datasets within the South African Reserve Bank (SARB).
• Identify the data profiles of the datasets discovered in order to determine their completeness and compliance as well as for the purpose of inventory management.
• Establish relationships between data elements and their impact on the business.
• Understand the business requirements, and address matters of data completeness and data quality. 
• Conduct analysis in order to track the dataset life cycle from its initial generation to its eventual archival and/or deletion.
• Conduct data analysis in order to determine the various categories of data and information. 
• Conduct data analysis in order to determine the importance of the data to the business and the probability of reuse. 
• Produce regular reports and provide status updates as well as information for the business domain. 
• Develop and manage stakeholder relations effectively to promote data management across the organisation.
• Support reliable decision making and appropriate data usage.
• Provide input as data transtions from source to destination..

QUALIFICATIONS

Job requirements

To be considered for this position, candidates must have:

• the minimum of a Bachelors (NQF 7) in Computer Science, Computer Engineering or Data Science, or an equivalent qualification; and
• the minimum of 5–8 years of job-related experience within the data analysis environment.

Additional requirements include:

• capacity and performance management; 
• extensive knowledge of best practice methodologies in data warehousing and multidimensional data modelling (Online Analytical Processing (OLAP), e.g. ESSBASE or Microsoft Analysis Services), system design and system? management; 
• extensive knowledge of most data-modelling techniques; 
• extensive knowledge of the most common … (RDBMS) technologies (e.g. Oracle, IBM, SQLServer and MySql); 
• experience in deploying and managing Big Data environments (e.g. HADOOP, SPARK and NoSQL); 
• knowledge of database query languages (e.g. SQL); 
• experience with a variety of programming languages, including but not limited to C# and JAVA; and   
• experience in using a broad variety of integration techniques, patterns, tools and methodologies.

Job-related skills and attributes:

• industry, business and organisational knowledge and skill;
• quality assurance knowledge and skill;
• continuous improvement knowledge and skill;
• continued learning / professional development knowledge and skill; 
• business transformation and optimisation knowledge and skill; and
• elicitation techniques knowledge and skill.