Cape Town, Bellville or surrounds to provide statistical analysis, forecasting, predictive modelling, OUTCOMES o Provide business insights through statistical analysis, forecasting, predictive modelling, answering complex business problems that require statistical analysis. o Regularly monitor internal and external services CORE REQUIREMENTS Degree in applied statistics, mathematics, operational research, economics of advanced analytical techniques, including: statistical methods, segmentation, experimental design, neural
and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns bachelor's degree or diploma in Data Science, Statistics, Computer Science, Accounting, or a related field Python, R, SQL, and Power BI. Familiarity with statistical techniques and methodologies. Excellent communication
and completeness. Data Analysis: Performing statistical analysis and data mining to identify patterns bachelor's degree or diploma in Data Science, Statistics, Computer Science, Accounting, or a related field Python, R, SQL, and Power BI. Familiarity with statistical techniques and methodologies. Excellent communication
to apply data mining techniques and conduct statistical analysis to large, structured and unstructured degree in either engineering, data science, statistics, computer science, or any other quantitative structured and unstructured data.
opportunities for process enhancements Employ statistical techniques to scrutinize data and produce actionable Possesses a solid foundation in data analytics and statistics with practical experience using data analytics in Computer Science, Information Management, Statistics, or a comparable discipline is required, with
validating data to enable quantitative analysis for statistical and modelling team. Explore data to understand experience would be beneficial. Data analysis tools. Statistical mythologies and possesses strong business acumen
Degree (Honours / Masters / PHD) in Statistics, Computer Science, Engineer or Mathematics or solutions
their needs and deliver solutions. - Utilize statistical and machine learning techniques to drive data-driven similar programming languages. Strong knowledge of statistical analysis and modeling techniques. Experience
advantageous) Good applied statistics skills, such as distributions, statistical testing, regression, etc
advantageous)