Established as an agricultural repair workshop on a small farm outside Empangeni 60 years ago, Bell values the roots and principles instilled by founder Irvine Bell. This is what continues to encourage us to achieve in a highly competitive industry.
Today, Bell is one of the global leaders in the Articulated Dump Truck (ADT) market. The company's engineerin...
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Devise, develop, and deploy required data queries in response to business user needs.
Develop data models and protocols for mining databases, in conjunction with data owners/management, to identify business opportunities and to collate relevant information into a report.
Assist in development of data management policies and procedures.
Work with application developers to coordinate creation and management of data queries.
Collaborate with managers, end-users, development team and other stakeholders to integrate data management applications with existing systems.
Provide and apply quality assurance best practices for data analysis services, including consulting with database owners on enhancements.
Develop, implement, and maintain change control and testing processes for modifications to data models.
Develop routines for end-users to facilitate best practice use of data management tools.
Assist Fleetmatic Administrators as required.
Priorities initiatives based on business needs and requirements.
Serve as liaison between stakeholders and users.
Monitor deliverables and ensure timely completion of projects.
REQUIREMENTS
Relevant tertiary qualification in Data Science
Data modelling, structures, theories, principles, and practices (Machine Learning)
Data preparation, processing, classification, and forecasting
Technical experience with relational database servers
Proficient working with data modelling tools such as SQL, MySQL, Excel, Power BI, etc.
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