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Remote Data Analyst - Mining Operations
Remote / Online - Candidates ideally in
Soweto, 1803, South Africa
Listed on 2026-10-05
Soweto, 1803, South Africa
Listing for:
Placements24
Remote/Work from Home
position Listed on 2026-10-05
Job specializations:
-
IT/Tech
Data Analyst, Data Mining, Data Science Manager
Job Description & How to Apply Below
Our client is looking for a highly motivated Data Analyst to join their remote operations team, supporting projects near Soweto . This fully remote position involves collecting, cleaning, analyzing, and interpreting large datasets from various mining operations to identify trends, insights, and areas for improvement. You will play a key role in driving data-informed decision-making across different departments. This is an excellent opportunity for an analytical professional who excels in a remote work environment and wants to make a tangible impact on operational efficiency and strategic planning within the mining sector.
Key Responsibilities- Collect, clean, and process data from diverse sources, including operational sensors, production logs, and financial reports.
- Develop and implement data analysis methodologies to identify key performance indicators (KPIs) and trends.
- Create insightful reports, dashboards, and visualizations using tools like Power BI or Tableau.
- Collaborate with operational managers and engineers to understand data needs and deliver actionable insights.
- Identify opportunities for process optimization based on data analysis.
- Ensure data accuracy, integrity, and security.
- Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field.
- Minimum of 3 years of experience as a Data Analyst, preferably within the mining or industrial sector.
- Proficiency in SQL for data extraction and manipulation.
- Experience with data visualization tools (e.g., Power BI, Tableau, Excel).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication skills and the ability to explain technical findings to non-technical audiences.
- Competitive annual salary and potential for performance bonuses.
- Fully remote work arrangement with flexible hours.
- Opportunity to work with cutting-edge data analytics tools and techniques.
- Contribute to data-driven improvements in a major industry.
- Professional development and continuous learning opportunities.
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