Responsibilities:
Data Analysis and Modelling:
and execute cutting-edge AI and BI solutions data science projects analytics and machine learning models insights data strategies, build models, and embed models into software-driven business processes Data Analysis outcomes, and optimize processes Data analysis, data exploration, and data preprocessing to extract valuable validate findings Data Strategy and Planning: Define data-driven objectives and formulate data strategies aligned with business goals Identify KPIs and establish data collection and measurement protocols Feature Engineering:
contract requirement. As the Data Specialist, you will analyse and interpret data within the company to support Min 5 years experience as a Data Specialist. Must be very strong in Data Analysis. Knowledge of Retail 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.
DATA SCIENTIST/ANALYST to assist in the development of new AI offerings, monitoring of existing products entire deliverable: from spec gathering, data collection, data cleaning and manipulation, model creation technologies. Extraction, cleansing, and validating of data to be used for analysis. Translate Business Strategies measures and control systems to track progress. Extract data from various sources and convert it into meaningful learning Ability to handle, interpret and analyze data efficiently. Proficiency in T-SQL, R, Python, Excel
the Durban North area is looking for a Marketing Data Operations Specialist to join their growing team revenue operations and CRM platforms and structure data flows, as well as owning the nurture and email sequences Management Creating a data cleanness structure Restructuring and setting up an optimised data structure within Creation and Management - Take ownership of the data and key data systems and providing support to relevant and/or API's that are needed to source the relevant data Own means of reliable transportation Ability to
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)
system enhancements. Direct the information and data integrity of the company and its business units and external operations that are impacted by the capture, storage, processing and dissemination of information environment will be an advantage. ➢ Experience in data warehousing would be an advantage. ➢ Experience
and logs all such incidents in a timely manner Captures all required and relevant information for immediate identification of risks and mitigation plans to be captured into the change record Follows the shift handover Cloud Services Management Computing Database Tuning Data Networking Firewalls Infrastructure Deployment IP Certified Engineer VMware certified Professional: Data Centre Virtualization Zerto, pure, vxrail Google
system enhancements. ➢ Direct the information and data integrity of the company and its business units and external operations that are impacted by the capture, storage, processing and dissemination of information environment will be an advantage. ➢ Experience in data warehousing would be an advantage. ➢ Experience
the department on data driven insights and trends, and create and maintain accurate data, dashboards, and recorded End to end system testing Ad-hoc projects Data Analytics to support business needs Ad-hoc analytics Risk areas Use SQL to extract and analyze data to make data-driven, actionable recommendations about how improve policies and processes Work closely with the Data Science team to price and implement Machine Learning processes Data development and maintenance Assist and advise on creating and maintaining data in the optimal