Data Analyst – Kempton Park at Prostaff Holdings (Pty) Ltd

Minimum requirements for the role:

• A Degree in Computer Science, Engineering or related field is essential.
• Minimum 1-3 years’ experience within a data science environment, preferably with mining and mineral processing experience.
• Must have experience with Microsoft Power BI, relational and time scale databases.
• Must have experience in programming (C#, C++, Python, Java or R) and in database query languages (SQL, PostgreSQL).
• Have experience in using cloud services, preferably certified in Azure or AWS.
• Have knowledge of Machine Learning and Artificial Intelligence concepts algorithms and their application.
• Must have the skill to translate the visualisations into meaningful actions processes and efficiencies.
• Must have the ability to articulate technical and/or other required information to relevant clients.
• Must have the ability to create comprehensive and meaningful dashboards.
• Must have the ability to analyse large data sets and to write comprehensive reports.
• Must have excellent technical aptitude and have a creative approach for new ideas.
• Knowledge in plant signals and systems modelling and interpretation.
• Basic understanding of web technology stack (front-end and back-end) is beneficial.
• Knowledge of deployment of Machine Learning algorithms is beneficial.
• Must have own transport and valid driver’s license.

The successful candidate will be responsible for:

• Managing the complete functional specification and documentation for remote monitoring system.
• Assisting with development of scope of work and provided minimum data requirements to implement remote monitoring systems at new clients.
• Developing hybrid data processing and storage system (have capacity for local processing of raw data on site and transmission of compressed files to cloud for additional processing).
• Managing the complete launch of monitoring system with modular approach for services (would expect the person to be involved in the launch of the product to get direct feedback from users).
• Integrating data between the on-site monitoring systems and the ERP system to provide insights on logistics and service improvements for the company.
• Developing maintenance scheduling module using data from ERP system and calibrating the developed system with the client to ensure better accuracy.
• Customization and adaptation of developed modules to client-specific data where necessary.
• Using analytical, statistical and programming skills to collect, analyse and interpret large datasets for a wide range of different clients and different equipment depending on each client’s needs.
• Maintaining and improving existing dashboards and developed data insights.
• Delivering data outcomes from analysis to technical and business intelligence insights, to Predictive to Advanced ML and AI outcomes.
• Collaborating with clients to ensure comprehensive and accurate understanding of their requirements and devise effective resolutions through innovative data solutions or data/statistical methodologies.
• Reporting of findings and recommendations to client where the outcome remains relevant to the client.
• Influencing and having direct conversations with client through quantitative mechanisms.
• Managing, building and/or improving on the reporting, analytics and data exploration capabilities.
• Collaborating with the company’s employees from different departments to improve data analysis and insights.