integrity to grant reliability of data to create statistical models. Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results results. Analyse and validate data to develop statistical forecasts at multiple levels of aggregation for Experience in a similar role Ideally proficient in statistics, forecasting and forecasting methods with an
integrity to grant reliability of data to create statistical models. Review historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results results. Analyse and validate data to develop statistical forecasts at multiple levels of aggregation for Experience in a similar role Ideally proficient in statistics, forecasting and forecasting methods with an
/>Optimisaton of machinery utilisation
Production Statistics reporting
Reduce costs
Ensure areas
resources Min Qualifications – Degree in Maths / Statistics / Engineering / Computer Scie / IT Certifications
Industry required
/>Accurate compilation of relevant sales data and statistics
Company product, market and competitor knowledge
information from large datasets
experience with machine learning, deep learning, and statistical analysis. Responsibilities: Data Analysis and valuable information from large datasets Apply statistical techniques and hypothesis testing to validate experience with machine learning, deep learning, and statistical analysis Proficiency in data analysis and machine
such as APQP, PPAP, FMEA, Control Plans, and Statistical Process Control (SPC). Excellent analytical and in relevant software applications (MS Office, statistical analysis software) and quality management systems such as APQP, PPAP, FMEA, Control Plans, and Statistical Process Control (SPC) to drive continuous improvement