Placements24 Gqeberha vor 5 Tagen

Remote Data Analyst - Mining Insights

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Das ist der Job

This is a fully remote position, offering flexibility and the opportunity to work from anywhere.

Darum lohnt es sich

About the Role Our client is seeking a highly analytical and results-oriented Remote Data Analyst to join their virtual operations team.

Key Responsibilities • Collect, clean, and organize large datasets from various mining operations and exploration projects using specialized tools and databases. • Perform statistical analysis and modeling to identify trends, patterns, and anomalies in mining production, costs, and exploration success rates. • Develop and maintain dashboards and reports using data visualization software (e.g., Tableau, Power BI) to present key findings to stakeholders. • Collaborate with geologists, engineers, and management teams to understand their data needs and provide tailored analytical support. • Monitor industry trends and competitor activities, incorporating relevant data into analyses to inform strategic planning.

Benefits • Competitive annual salary commensurate with experience. • Comprehensive health, dental, and vision insurance plans. • Generous paid time off and holiday schedule. • Home office stipend and professional development budget. • A fully remote work environment, offering exceptional work-life balance and flexibility from Port Elizabeth .

In this role, you will be responsible for collecting, processing, and analyzing vast datasets related to mining operations, exploration activities, and market trends to provide actionable insights.

You will play a key role in supporting strategic decision-making by translating complex data into clear, concise reports and visualizations, contributing to efficiency and profitability across the organization.

Requirements • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. • Proven experience as a Data Analyst, with at least 3 years focused on the mining industry or related natural resources sector. • Proficiency in SQL for data extraction and manipulation, and advanced skills in Excel. • Experience with data visualization tools such as Tableau, Power BI, or similar platforms. • Excellent analytical, problem-solving, and communication skills, with the ability to work independently and manage time effectively in a remote setting .

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