Associate Data Analyst
Sandton

Work with data to help the organisation make better business decisions. By utilising techniques from a range of disciplines, including computer programming, mathematics, and statistics. Draw conclusions from data to describe, predict, and improve business performance. To turn data into information, information into insight and insight into business decisions.

• Interpret data, analyse results using statistical techniques and provide ongoing reports
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Using tools and techniques to visualise data in easy-to-understand formats, such as diagrams and graphs
• To perform/apply data modelling, data cleansing and data enrichment techniques
• Preparing reports and dashboards and presenting these to management and/or external stakeholders
• Locate and define new process improvement opportunities
• Attending all meetings relevant to Business Intelligence/Data Management
• Work with Management to prioritize business and information needs
• Ad hoc tasks as allocated or required by Management

• Grade 12 or equivalent (Essential)
• Relevant tertiary qualification; a Degree in mathematics, Computer Science, Statistics or Economics or any relevant data science degrees (MSc Data Science, MSc Big Data, MSc Business Analytics)
• Minimum 3 - 5 years’ experience in a data analyst position
• Predictive Analytics, Prescriptive analytics, Descriptive analytics, and Diagnostic analytics.
• Experience with relational database management tools/systems e.g. MySQL, IBM DB2, SQL lite,and/or Microsoft SQL Server Management studios and/or Oracle RDBMS
• Sound Knowledge of Microsoft Power BI and Microsoft Excel
• Knowledge of relevant relational database Management systems
• Strong IT and mathematical skills
• A solid understanding of data sources, data organisation and storage
• Good verbal and written communication skills
• Excellent numerical and analytical skills
• In-depth knowledge of statistical methodologies and data analysis and storage
• Ability to write comprehensive reports
• Familiarity with other relational databases (MS Access)