data cleaning processes to minimize errors before analysis. Bridge the Gap: Clearly communicate technical departmental publications that translate data analysis into clear and actionable insights, following experience in a relevant field, such as financial data analysis. Strong analytical skills with experience in big and programming languages commonly used for data analysis. Experience applying statistical modelling techniques Experience in data wrangling to prepare data for analysis is essential. Strong competency in Microsoft Office
data cleaning processes to minimize errors before analysis. Bridge the Gap: Clearly communicate technical departmental publications that translate data analysis into clear and actionable insights, following experience in a relevant field, such as financial data analysis. Strong analytical skills with experience in big and programming languages commonly used for data analysis. Experience applying statistical modelling techniques Experience in data wrangling to prepare data for analysis is essential. Strong competency in Microsoft Office
Minimum Requirements: Excellent PowerBI Skills (Analysis and Visualisations) Advanced skills in DAX, PowerQuery PowerQuery, PowerPivot and Excel. Skills in Data Analysis, Data Management and Data Reporting. Tableau, international teams to support and consult on data analysis and reporting for the US and African markets.
algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends. Collaborate scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent
algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends. Collaborate scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent
algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends. Collaborate scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent
algorithms to address business challenges. Conduct data analysis to extract meaningful insights and trends. Collaborate scikit-learn). Strong understanding of statistical analysis, data mining, and predictive modeling. Excellent
multiple IT disciplines e.g. Development Hardware, analysis, design, service management, architecture 5 -
multiple IT disciplines e.g. Development Hardware, analysis, design, service management, architecture 5 -
systems and performing functional and technical analysis. Developing software solutions and creating sequence