Senior Data Analyst - Mining Operations

Placements24; Randburg; Remote; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Annual performance bonuses

Health, dental, and vision insurance

Remote work stipend

Flexible working hours

Professional development opportunities

Job summary

Placements24 is seeking a highly analytical Senior Data Analyst to join a remote mining operations team. You will harness large datasets from exploration, production, and processing to drive data-informed decisions, improve efficiency, reduce costs, and enhance safety.

You will develop predictive models, create dashboards (Power BI/Tableau), and collaborate with operations, geology, and finance to define KPIs and deliver actionable insights across the organization.

Qualifications

• Master's degree in a quantitative field (data science, statistics, CS, mining engineering).
• 7+ years of experience in data analysis with operations focus.
• Proficient in Python or R, SQL, and data visualization tools (Tableau, Power BI, QlikView).

Responsibilities

• Collect, clean, and analyze large datasets from geological surveys, production, and costs.
• Develop predictive models to forecast outcomes and optimize resource allocation.
• Create dashboards and visualizations to communicate findings to stakeholders.
• Collaborate with operations, geology, and finance to understand data needs.
• Define KPIs and metrics to track mining efficiency and effectiveness.
• Stay updated on new data analysis techniques for mining.

Skills

Python

R

Analytical thinking

Communication

Education

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

Tools

Power BI

Tableau

QlikView

SQL

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Analyst to join their remote team, focusing on optimizing mining operations. In this role, you will leverage vast datasets from exploration, production, and processing to identify trends, generate insights, and drive data-informed decision-making across the organization. You will play a critical part in enhancing efficiency, reducing costs, and improving safety by transforming raw data into actionable intelligence. This is an exceptional opportunity for a data-savvy professional to make a substantial impact in the mining sector from a remote work setting.

Key Responsibilities

• Collect, clean, and analyze large, complex datasets related to geological surveys, production volumes, equipment performance, and operational costs.
• Develop and implement predictive models to forecast operational outcomes, identify potential risks, and optimize resource allocation.
• Create insightful reports, dashboards, and visualizations (using tools like Power BI, Tableau) to communicate findings to stakeholders.
• Collaborate with various departments (e.g., operations, geology, finance) to understand their data needs and provide analytical support.
• Identify key performance indicators (KPIs) and develop metrics to track the efficiency and effectiveness of mining operations.
• Stay abreast of new data analysis techniques and technologies relevant to the mining industry.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 7 years of experience as a Data Analyst or in a similar role, with a focus on operational data analysis.
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong experience with SQL and database management.
• Expertise in data visualization tools (e.g., Tableau, Power BI, QlikView).
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex data insights to non-technical audiences.

Benefits

• Highly competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous remote work setup allowance and home office stipend.
• Flexible working hours and a supportive remote work culture.
• Opportunities for professional development, certifications, and conference attendance.