Data Analyst - Remote Mining Operations

Placements24

Stellenbosch

Hybrid

ZAR 420,000 - 620,000

Full time

2 days ago
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Benefits offered by this job

Remote work
Health benefits
Flexible hours
Professional development
Remote work allowance

Job summary

Placements24 in South Africa seeks a Data Analyst to support remote mining operations, collecting and analyzing data from exploration to processing. You will work with geologists, engineers, and management to transform data into actionable insights.

Placements24 offers remote work with flexible hours and opportunities to impact safety and efficiency across diverse mining sites. The role requires SQL, Python or R, and visualization with Tableau/Power BI, with a strong analytical mindset and

Qualifications

  • 3+ years of experience as a Data Analyst in mining or resources.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools like Tableau or Power BI and with Python or R.

Responsibilities

  • Collect, clean, and organize large mining datasets.
  • Develop dashboards and reports to visualize KPIs for production and safety.
  • Perform statistical analyses to identify trends and improvement opportunities.
  • Collaborate with geologists, engineers, and management to interpret data.

Skills

SQL
Tableau
Power BI
Python
R
Analytical skills

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or related field

Job description

About the Role

Our client is seeking a skilled Data Analyst to support their remote mining operations, working from anywhere. This is a fully remote position focused on leveraging data to drive operational efficiencies, improve safety, and optimize resource extraction. You will work closely with geologists, engineers, and management teams to collect, analyze, and interpret vast amounts of data generated from exploration, mining, and processing activities. The ideal candidate is proficient in data analysis tools and techniques, with a keen eye for detail and a strong understanding of the mining lifecycle. This role offers the flexibility of remote work while providing significant impact on strategic decision-making for the company's diverse mining interests across various locations, including insights relevant to the Stellenbosch region's industrial context.

Key Responsibilities
  • Collect, clean, and organize large datasets from various sources within the mining operations.
  • Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) related to production, safety, and costs.
  • Perform statistical analysis to identify trends, patterns, and areas for operational improvement.
  • Collaborate with stakeholders to understand their data needs and provide actionable insights.
  • Utilize data analysis and visualization tools (e.g., Python, R, SQL, Tableau, Power BI) to derive meaningful conclusions.
  • Contribute to the development of data-driven strategies for optimizing mining exploration and production processes remotely.
Requirements
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
  • Minimum of 3 years of experience as a Data Analyst , preferably within the mining or resources sector .
  • Proficiency in SQL for data querying and manipulation.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and statistical software (e.g., R, Python).
  • Strong analytical and problem-solving skills with the ability to communicate complex findings clearly.
  • Demonstrated ability to work independently and effectively in a remote work environment , supporting operations that may include areas like Stellenbosch .
Benefits
  • Competitive salary and remote work allowance.
  • Comprehensive health and wellness benefits.
  • Flexible working hours and a supportive remote team culture.
  • Opportunities for professional development and upskilling in data analytics.
  • The chance to contribute to innovation and efficiency in the global mining industry from anywhere.
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