Remote Mining Data Analyst

Placements24; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible hours

Fully remote

Job summary

Placements24 is seeking a highly analytical Remote Mining Data Analyst to transform raw geological and operational data into actionable insights that guide strategic decisions for mining operations globally.

You will handle large datasets, apply advanced analytics, and develop dashboards to reveal trends, anomalies, and opportunities for efficiency and cost savings.

Qualifications

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Proven experience as a Data Analyst, preferably in mining or related fields.
• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib), R, SQL, Tableau, or Power BI.
• Strong understanding of statistical modeling and machine learning concepts.
• Excellent communication and collaboration skills, able to explain complex findings to non-technical audiences.
• Must have a reliable home office setup with stable high-speed internet.

Responsibilities

• Collect, clean, and process large volumes of mining and geological data from diverse sources.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Apply statistical methods and machine learning techniques to identify patterns and anomalies in data.
• Collaborate with geologists, engineers, and management to define data analysis requirements.
• Provide data-driven recommendations to improve operational efficiency, cost reduction, and resource exploration.
• Ensure data integrity, accuracy, and security across all analytical processes.

Skills

Python

Pandas

NumPy

Matplotlib

R

SQL

Tableau

Power BI

Data visualization

Statistical modeling

Education

Bachelor's degree in data science or related field

Tools

Jupyter

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Remote Mining Data Analyst to join their dynamic, fully remote team. In this role, you will be instrumental in transforming raw geological and operational data into actionable insights that drive strategic decision-making for mining operations across various locations, including George . You will work with vast datasets, applying advanced analytical techniques to uncover trends, predict outcomes, and optimize resource management and operational efficiency. This is a unique opportunity to contribute significantly to the company's success from the comfort of your home office, leveraging cutting-edge technology and collaborating with a distributed team of experts in the Western Cape and beyond.

Key Responsibilities

• Collect, clean, and process large volumes of mining and geological data from diverse sources.


• Develop and maintain dashboards and reports to visualize key performance indicators and trends.


• Apply statistical methods and machine learning techniques to identify patterns and anomalies in data.


• Collaborate with geologists, engineers, and management to define data analysis requirements.


• Provide data-driven recommendations to improve operational efficiency, cost reduction, and resource exploration.


• Ensure data integrity, accuracy, and security across all analytical processes.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.


• Proven experience as a Data Analyst, preferably within the mining industry or a related field.


• Proficiency in data analysis and visualization tools such as Python (Pandas, NumPy, Matplotlib), R, SQL, Tableau, or Power BI.


• Strong understanding of statistical modeling and machine learning concepts.


• Excellent communication and collaboration skills, with the ability to explain complex findings to non-technical audiences.


• Must have a reliable home office setup with stable high-speed internet.

Benefits

• Competitive salary commensurate with experience.


• Fully remote work arrangement with flexible hours.


• Comprehensive health, dental, and vision insurance plans.


• Generous paid time off and public holidays.


• Opportunities for continuous learning and professional development in data analytics and mining technology.