Remote Data Analyst - Mining Operations

Placements24; Stellenbosch; Hybrid; ZAR 520,000 - 860,000; Full time

Benefits offered by this job

Competitive salary

Remote work

Health and wellness benefits

Professional development

Job summary

Placements24 is seeking a skilled Remote Data Analyst to support mining operations from anywhere in South Africa. You will collect, clean, and analyze large datasets on production, equipment performance, safety, and resource management to inform operational decisions.

You will build dashboards in Power BI or Tableau, identify trends, and present actionable insights to managers. Strong SQL, statistical modeling, and clear communication are essential in this remote role with growth opportunities.

Qualifications

• Bachelor's degree in a quantitative field (Data Science, Statistics, CS, Engineering).
• Minimum of 3 years in a data analyst role, preferably in mining/heavy industry.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools (Power BI or Tableau).
• Strong analytical and statistical modeling skills.
• Excellent communication to present complex data to non-technical audiences.

Responsibilities

• Collect, clean, and organize mining operational data from multiple sources.
• Perform in-depth analysis to identify trends, patterns, and anomalies in production, safety, and equipment performance.
• Develop and maintain dashboards and reports using Power BI, Tableau, or similar tools.
• Interpret results and provide actionable insights to operational managers.
• Collaborate with technical teams to ensure data integrity and effective data collection strategies.
• Stay updated on new analytical techniques and technologies in mining.

Skills

Data analysis

SQL proficiency

Statistical modeling

Communication

Education

Bachelor's degree in Data Science, Statistics, CS, Engineering

Tools

Power BI

Tableau

Job description

About the Role

Our client is seeking a skilled Remote Data Analyst to support their mining operations, working from anywhere in South Africa. This role is integral to leveraging data insights for operational improvement, efficiency gains, and informed decision-making across various mining disciplines. You will be responsible for collecting, cleaning, analyzing, and interpreting large datasets related to production, equipment performance, safety, and resource management. The ideal candidate thrives on uncovering trends, developing actionable reports, and communicating findings clearly to stakeholders. This is a fantastic opportunity to contribute to a forward-thinking mining company from a remote setting.

Key Responsibilities

• Collect, clean, and organize mining operational data from various sources (e.g., sensors, ERP systems, manual logs).
• Perform in-depth data analysis to identify trends, patterns, and anomalies in production, safety, and equipment performance.
• Develop and maintain dashboards and reports using data visualization tools (e.g., Power BI, Tableau).
• Interpret analytical results and provide actionable insights and recommendations to operational managers.
• Collaborate with technical teams to ensure data integrity and the development of effective data collection strategies.
• Stay abreast of new analytical techniques and technologies relevant to the mining industry.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• Minimum of 3 years of experience in a data analyst role, preferably within the mining or heavy industry sector.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools like Power BI , Tableau, or similar.
• Strong analytical and statistical modeling skills.
• Excellent communication skills and the ability to present complex data clearly to non-technical audiences.

Benefits

• Competitive annual salary and potential for performance bonuses.
• Fully remote work arrangement, offering flexibility and work-life balance.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and training in data analytics.
• Be part of a company that values data-driven decision-making and innovation in mining.