Logistics / Warehouse Manager to join their team
This will be to improve existing warehouse and distribution
capabilities
Implement processes and a warehouse management system
Overall responsibility of the
Cape
Manage inbound, storage, outbound and transport processes
Manage warehouse inventory,
optimization and monitor and track deliveries
Manage distribution costs
Identify backlogs and resolve
or Diploma
10 years warehouse experience including 5 years of management experience within retail
Manage the full logistics and warehousing function of the Johannesburg branch, ensuring efficient operations rotation (FEFO and FIFO) Manage damaged and expired stock Oversee aging stock management and overstock Control Control and manage equipment Conduct stock counts and cycle counts Handle returns and manage stock count (Inbound and Outbound Logistics) Manage replenishment Operational Management: Generate operational reports efficiencies, controls, and effective management of the warehouse Drive continuous improvement and innovation
Manage the full logistics and warehousing function of the Johannesburg branch, ensuring efficient operations rotation (FEFO and FIFO) Manage damaged and expired stock Oversee aging stock management and overstock Control Control and manage equipment Conduct stock counts and cycle counts Handle returns and manage stock count (Inbound and Outbound Logistics) Manage replenishment Operational Management: Generate operational reports efficiencies, controls, and effective management of the warehouse Drive continuous improvement and innovation
Working within a Team of BI and Data Warehouse Developers to create data and reporiting platforms. Working build front-end BI Applications. BI and Datawarehouse Architecture development Data modelling including interactive dashboards and reports. Investigate data issues and solutions and provide ongoing maintenance experience in Data Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling profiling, data mapping and thorough understanding of data warehouse and BI concepts.
/>Experience:
Minimum of 3 years data analyst experience
Financial industry (ban
(banking/finance/insurance) beneficial
Power BI (Including, but not limited to Ingestion, Modelling
attitudes):
Visual Studio Code
Power BI Desktop and Services
Excel
Good knowledge
business decisions, through analysing/reporting on data trends, and using trends to forecast business trends
interpretation of data.
Key Performance Areas:
- Data preparation and
/>Experience:
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton DevOps 9. Automation Testing 10. IT Project Management 11. Finance, Risk & Compliance 12. Engineering
project. The focus in more on the following: Data analytics Data Reconciliations Table Mappings Source to end outputs Data Manager Lead Define Data Lineage Transform Data Can create scripts Raise Data Quality Issues Issues Drive Resolution of data issues Facilitate business requirements on data vs what is on the system/application
Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: areas: Technical Data Management and Analytics: Developing and implementing data management plans to ensure ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: areas: Technical Data Management and Analytics: Developing and implementing data management plans to ensure ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements