Remote Senior Data Analyst - Mining Operations

About the Role

Our client is seeking a highly analytical and experienced Senior Data Analyst to join their remote operations team, focusing on mining analytics. In this role, you will be responsible for collecting, processing, and analyzing large datasets related to mining operations, providing actionable insights to improve efficiency, reduce costs, and enhance safety. You will work closely with mine managers, engineers, and geologists across various locations to identify trends, develop predictive models, and present findings through compelling visualizations. This is an excellent opportunity for a data-driven professional to make a significant impact on operational decision-making in the mining sector from a fully remote setting.

Key Responsibilities

• Collect, clean, and transform large datasets from various mining operational systems.
• Develop and implement data models and analytical techniques to identify trends and anomalies.
• Create dashboards and reports to visualize key performance indicators (KPIs) and operational insights.
• Collaborate with stakeholders to understand their data needs and translate them into analytical solutions.
• Perform statistical analysis, predictive modeling, and data mining to support operational improvements.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, with a focus on operational data.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of statistical methods and machine learning concepts.
• Excellent communication and presentation skills, with experience working in a remote team.

Benefits

• Competitive annual salary and performance bonuses.
• Fully remote work environment with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Opportunities for professional growth and development in data analytics.