COMMENCEMENT: As soon as possible ROLE: Responsible for CA Data Management of central sector and all plants and guidelines Consult users how to store the CA data and permanent data archives as well as run reports Assign (Windows only) Create CA data structure as per GROUP guidelines Rearrange CA data structure as per project obsolete CA data using web application CA Cleanup Tool (Unix only) Backup and restore CA data Allow users work on weekends (changes) Serve as contact for data management related questions in the cloud Serve
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office
and managing applications on Kubernetes clusters Data modelling and Database technologies (relational
Our client requires the services of a Data Engineer/Scientist (Senior) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”)
inventory in a timely manner. Market Research: Conduct market research to understand consumer preferences involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate knowledge support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans and
inventory in a timely manner. Market Research: Conduct market research to understand consumer preferences involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate knowledge support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans and
inventory in a timely manner. Market Research: Conduct market research to understand consumer preferences involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate knowledge support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans and
regular reports to management. Market Research Conduct market research to identify new sales opportunities effectively. Market Research and Analysis Experience in conducting market research to identify new business
regular reports to management. Market Research Conduct market research to identify new sales opportunities effectively. Market Research and Analysis Experience in conducting market research to identify new business
outbound calls and email responses Provide actionable data to internal support groups Analyze statistics to determine customer service levels Use quality monitoring data management systems Monitor customer queries/complaints Monitor daily helpdesk reports Provide trend data analysis to team and management Minimum Requirements: