Remote Data Analyst - Mining Operations Intelligence

Placements24; Sandton; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Performance bonuses

Health benefits

Remote work

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Data Analyst to join the operations intelligence team. You will collect, process, and analyze large datasets from mining operations, identify trends, and provide insights to optimize efficiency.

The role emphasizes data integrity, security, and actionable intelligence in a remote-first environment. Ideal candidates have a strong background in data analysis, statistical modeling, and experience with SQL, Python, R, and visualization tools such as

Qualifications

• Bachelor’s degree in data science, statistics, CS, or related quantitative field.
• Minimum 4 years in data analysis, BI, or related role.
• Proficient in SQL, Python (Pandas, NumPy) or R.
• Experience with data visualization tools like Tableau/Power BI.

Responsibilities

• Collect, clean, and transform data from diverse sources.
• Develop KPIs and trends to inform operations in mining.
• Create dashboards and reports for stakeholders.
• Perform advanced analysis and predictive modeling using Python/R/SQL.
• Identify opportunities for process improvements and cost reductions.
• Collaborate with operational teams to understand data needs.
• Ensure data accuracy, integrity, and security.
• Stay updated on data tools and best practices.

Skills

Data analysis

SQL

Python

R

Tableau

Power BI

Statistics

Communication

Education

Bachelor's degree in data-related field

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client, a forward-thinking leader in the mining sector, is seeking a highly analytical and motivated Remote Data Analyst to join their innovative operations intelligence team. This is a fully remote position, allowing you to work from anywhere. You will play a crucial role in collecting, processing, and analyzing vast datasets generated from various mining operations. Your insights will be vital in identifying trends, optimizing processes, improving efficiency, and informing strategic decisions across the organization. The ideal candidate will have a strong background in data analysis, statistical modeling, and a passion for uncovering actionable intelligence from complex data, preferably within the mining or heavy industry sectors. This is an excellent opportunity to leverage your analytical skills in a remote-first environment.

Key Responsibilities

• Collect, clean, and transform data from diverse sources, including production logs, sensor data, maintenance records, and financial systems.


• Develop and implement data analysis methodologies to identify key performance indicators (KPIs) and operational trends in mining.


• Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders across different departments.


• Utilize statistical software and programming languages (e.g., Python, R, SQL) to perform advanced data analysis and predictive modeling.


• Identify opportunities for process improvements and cost reductions based on data-driven insights.


• Collaborate with operational teams to understand their data needs and provide tailored analytical support.


• Ensure data accuracy, integrity, and security throughout the analysis lifecycle.


• Stay updated with the latest data analysis tools, techniques, and best practices relevant to the mining industry.


• Contribute to the development and maintenance of data infrastructure and reporting tools.


• Present findings and recommendations clearly and concisely to both technical and non-technical audiences.

Requirements

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


• A minimum of 4 years of experience in data analysis, business intelligence, or a related role.


• Proven proficiency in data manipulation and analysis using tools such as SQL, Python (Pandas, NumPy), or R.


• Experience with data visualization tools (e.g., Tableau, Power BI).


• Strong understanding of statistical concepts and modeling techniques.


• Excellent analytical, problem-solving, and critical thinking skills.


• Exceptional communication and presentation skills, comfortable working in a remote setting.


• Ability to work independently, manage time effectively, and meet deadlines.


• Prior experience in the mining or heavy industry sectors is highly advantageous.


• Must be eligible to work remotely and have a stable internet connection.

Benefits

• Competitive annual salary and performance-based bonuses.


• Comprehensive health and wellness benefits package.


• Generous paid time off and flexible working hours.


• Opportunity to work entirely remotely from anywhere.


• Professional development opportunities, including online courses and certifications.


• Be part of a cutting-edge data intelligence initiative within the mining sector.


• Contribute significantly to operational efficiency and strategic decision-making.


• Work with a collaborative and globally distributed team.