cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning to travel to the office daily. Responsibilities: Data Analysis and Modelling: Develop and deploy machine optimize processes Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Collaborate with stakeholders to define data-driven objectives objectives and formulate data strategies aligned with business goals Identify key performance indicators (KPIs)
Purpose: To analyse & interpret data within our client to support business objectives & decision-making Areas: Collect, store & manage data effectively. Analyse large sets of data to identify trends, patterns insights. Establish data quality standards & security measures. Translate data into understandable Power BI. Clean & process data to remove inconsistencies ensuring data accuracy & reliability. Metrics. Very Strong in data analysis. 5 years Experience. Time management. Stress tolerance. Problem
quarterly and annual sales against budget set out by Management Monitor & Track sales on a daily basis Update set out by the Product Manager Manage own budget expenses as set out by Management Provide input/market input/market feedback to Sales Manager/Product Manager in developing strategies per market segment e.g. Hospital plan at customer level Ensure effective stock management at hospitals, including movement and setting Ensure minimum expiries of stock by effective management of same Comply with all Legal requirements including
A well-established company specialising in the distribution of diagnostic laboratory equipment to laboratories requires the above to successfully deliver the short- and long-term business objectives and performance targets for the science product portfolio. Minimum requirements for the role: A BSc (
ADMIN CLERK - CLINIC MINIMUM REQUIREMENTS: Matric Qualification Post matric qualification in Office Management Management is considered an advantage Basic Computer Literacy including Word & EXCEL Fluent in English English and Zulu DUTIES AND RESPONSIBILITIES: Data Capturing: Capturing of all scripts, invoices, and communication with patients, management of patient files, and queue management. Filing and retrieval of patient Patient Education Events as directed by the Fund Manager. Minute taking at staff meetings. Generate reports
Fitness Printing and issuing of work orders Accurate data capturing of work orders and creation of sub-work
online gambling industry has a vacancy for a Junior Data Analyst to join their energetic team in Durban. Science / Commerce / IT Degree 1 - 2 years’ relevant data analysis experience in a professional working environment
Sr Data Scientist I Would you like to work with our complex data-sets? Do you enjoy creating insights insights using data? About the Role As a Senior Data Scientist, you will analyze data, build models, and offer modeling to identify trends and patterns in large data sets Developing predictive models to forecast business and advancements in data science Improving data quality and accuracy through data cleaning and validation Requirements Have a solid educational background in Data Science, Statistics, or related field Be proficient
We are seeking a Data Specialist (Power BI) to be based in Pinetown. Minimum requirements: Degree or products – Preferably a BI Developer that understands data and can't put together Power BI solutions Knowledge Knowledge of Retail and Wholesale Metrics Very Strong in data analysis.
critical thinking Senior Data Analyst to join the Group Services Division . The Senior Data Analyst will report report to the Data Analytics Manager and the role will be based at Westville . The purpose of the role is is to support data-driven decision making within RCL FOODS by collecting, preparing, modelling, visualising visualising and analysing data. Working closely with various stakeholders across the organization to extract Focus on tasks under the guidance of the IT Data Analytics Manager. Leverage new technologies such as machine