higher (Engineering/ Computer Science /Mathematics/Statistics). 10 years' experience in commercial analytics leveraging data visualization and knowledge of statistical techniques and software (e.g., MS Power BI, R
to apply data mining techniques and conduct statistical analysis to large, structured and unstructured discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation
Masters in Mathematics/ Financial Mathematics / Statistics / Actuarial Sciences / Engineering / Computer
visualization libraries.
A solid foundation in statistical analysis and machine learning algorithms, with
proficiency in demand forecasting techniques, statistical analysis, and inventory optimization models.
Database maintenance, including backup, restore, statistics and index maintenance - Disaster Recovery planning
strong> Bachelors degree in IT, Mathematics, Statistics, Data Science, or a related field.
Sampling methods and sample design (advantageous) Statistical skills and/or use of R/SAS/SPSS experience (advantageous) from data Analytical thinking, experience in statistics, data analysis, report writing and insights generation
Sampling methods and sample design (advantageous) Statistical skills and/or use of R/SAS/SPSS experience (advantageous) from data Analytical thinking, experience in statistics, data analysis, report writing and insights generation
historical data and spatial variables. Use spatial statistics and modelling techniques, such as regression spatial analysis techniques, including spatial statistics, spatial interpolation, and network analysis