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Minopex was established in 1996 in response to a growing need in the mining industry for contract operations. Today, Minopex is seen as a leader in contract operation and maintenance, operating facilities at major mines in several countries. Contract operation and maintenance is the new paradigm for mineral processing through the world as companies look f...
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Description
The purpose of this position is to accurately process information; post journals and perform reconciliations for all Balance Sheet accounts on a monthly basis.
Duties and Responsibilities
- Processing of supplier invoices
- Prepare reconciliations for all suppliers
- Managing payments to suppliers
- Prepare balance sheet reconciliations for all GL accounts on a monthly basis
- Responsible for intercompany accounts
- Manage fixed asset register
- Prepare VAT reconciliations
- Prepare month end journals
- Any other ad hoc duties
Qualification Requirements
- Bachelor’s Degree in Financial Accounting
Experience and Skills Requirements
- Minimum 3-4 years’ Accounting experience
- Excellent numeracy and analytical skills
- Computer literate in MS Office with advanced Excel skills
- Sage X3 experience - preferable
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Description
The purpose of this position is to assist with housekeeping and engineering maintenance activities under instruction from the artisan/supervisor.
Duties and Responsibilities
- Lifts, holds, positions and supports parts and materials being worked on, manually or with appropriate tools as required
- Assists with dismantling and re-assembling of components as per instruction
- Loads and off -loads materials and parts onto and from transport vehicles, as required
- Lifts, carries and moves materials to and from storage areas by hand or non-self-propelled equipment
- Assist with installations and breakdowns where services are required under instruction from the artisan or engineering supervisor
- Performs general housekeeping duties
- Perform observing role when instructed by Artisan / Engineering Supervisor, e.g. fire watch check for burning conveyors or checking pipeline for leaks
Qualification Requirements
Experience and Skills Requirements
- 1 years’ experience and knowledge within mining industry is preferred
- English Language Proficiency
- Knowledge of Workplace Safety and Procedures
- Time Management
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Are you a recent Data Science Graduate ready to revolutionize the mineral processing industry with your analytical skills? Do you have a passion for extracting valuable insights from complex data sets and driving data-informed decision-making? If so, we have an exciting opportunity for you to unleash your analytical superpowers and make a real impact in the world of mineral processing!
At Minopex, we are leading the way in innovation and leveraging advanced Data Science techniques to optimize mineral processing operations and drive sustainable practices. As a progressive and dynamic mineral processing company, we are seeking an exceptional Data Science Graduate to join our team and help us harness the power of data to unlock the full potential of our operations.
Duties & Responsibilities:
- Dive deep into extensive mining data sets, applying statistical analysis and machine learning techniques to uncover actionable insights and improve operational efficiency.
- Collaborate with cross-functional teams to identify data science challenges and develop innovative solutions.
- Develop and implement predictive models and algorithms to optimize mineral processing and production processes.
- Utilize your expertise in data visualization to create compelling reports and dashboards, enabling stakeholders to make informed decisions.
- Stay up-to-date with advancements in data science and mineral processing technology, and contribute innovative ideas to enhance mineral processing practices.
Qualification Requirements:
- Bachelor's degree in Data Science, Computer Science, Chemical / Metallurgical / Mechanical / Electrical / Industrial Engineering, or a related field.
Experience & Skills Requirements:
- Up to one year’s work experience will be advantageous.
- Strong understanding of statistical analysis, machine learning algorithms, and predictive modeling techniques.
- Experience in programming languages such as Python, R, or SQL will be advantageous.
- Experience with data visualization tools, such as Tableau, Power BI, or D3.js will be advantageous.
- Familiarity with mineral processing concepts, processes, and data sets.
- Excellent problem-solving skills and the ability to think critically in a mineral processing context.
- Strong communication and presentation skills to effectively convey complex findings to diverse stakeholders.
- Enthusiasm for continuous learning and a genuine passion for leveraging data science in the mineral processing industry.
- English language proficiency.
- Must be a South African Citizen.
Method of Application
Use the link(s) below to apply on company website.
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