Remote Data Analyst - Mining Operations

Placements24; Willows (CA); Remoto; USD 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Performance incentives

Home office allowance

Health insurance

Flexible hours

Professional development

Descrizione del lavoro

Placements24 is seeking a highly analytical Remote Data Analyst to join the operational support team. The role focuses on mining activities, transforming raw data into actionable insights to improve efficiency, safety, and profitability across mine sites.

You will work remotely, develop dashboards, conduct analyses, and present findings to management. The ideal candidate has strong data visualization and statistical skills, plus experience working with SQL and BI tools, contributing to

Competenze

• Bachelor's degree or higher in a quantitative field.
• 2+ years of experience as a Data Analyst focusing on data manipulation and visualization.
• Proficiency in SQL for data extraction and manipulation.

Mansioni

• Collect, clean, and organize large datasets from mining operations systems.
• Develop and maintain interactive dashboards and reports using data visualization tools (Tableau/Power BI).
• Perform statistical analysis to identify trends, anomalies, and opportunities for operational improvement.
• Collaborate with remote operational teams and management to understand data needs and deliver insightful analysis.
• Monitor KPIs and provide regular updates on operational performance.
• Contribute to development of data-driven strategies for safety, productivity, and cost-efficiency.

Conoscenze

SQL

Data Visualization

Tableau

Power BI

Statistical Analysis

Communication

Remote Collaboration

Formazione

Bachelor's degree in Data Science/Statistics/Mathematics/CS

Strumenti

Tableau

Power BI

Descrizione del lavoro

About the Role

Our client is seeking a highly analytical Remote Data Analyst to join their operational support team, focusing on mining activities near Welkom . This role is essential for transforming raw operational data into actionable insights that drive efficiency, safety, and profitability across various mine sites. Working entirely remotely, you will develop dashboards, conduct in-depth analyses, and present findings to operational and management teams. The ideal candidate is adept at data visualization, statistical analysis, and has a keen interest in applying these skills to the unique challenges of the mining industry , contributing remotely to improvements in the Free State mining sector .

Key Responsibilities

• Collect, clean, and organize large datasets from various mining operations systems.
• Develop and maintain interactive dashboards and reports using data visualization tools (e.g., Tableau, Power BI).
• Perform statistical analysis to identify trends, anomalies, and opportunities for operational improvement.
• Collaborate with remote operational teams and management to understand data needs and deliver insightful analysis.
• Monitor key performance indicators (KPIs) and provide regular updates on operational performance.
• Contribute to the development of data-driven strategies for enhancing safety, productivity, and cost-efficiency.

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• 2+ years of experience as a Data Analyst, with a focus on data manipulation and visualization.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills, with the ability to interpret complex data.
• Excellent communication skills, with the ability to present technical findings clearly to non-technical audiences in a remote setting.

Benefits

• Competitive remote salary with performance incentives.
• Home office setup allowance and tech support.
• Comprehensive health, dental, and vision insurance.
• Flexible working hours to accommodate remote work.
• Professional development opportunities and access to online training platforms.