Remote Mining Data Analyst: Insights and Visualization

Placements24; Queenstown; Hybrid; NZD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Professional development opportunities

Job summary

Placements24 is seeking a Remote Mining Data Analyst to analyze large mining datasets and generate insights that inform operational decisions. The role emphasizes building predictive models, creating dashboards, and collaborating with geologists, engineers, and operations managers in a fully remote setup.

The ideal candidate has a strong foundation in data manipulation, visualization, and statistics, with 4+ years in data analysis and experience in mining or related sectors.

Qualifications

• Bachelor's degree in a quantitative field.
• Minimum 4 years of data analysis experience, preferably in mining/resources.
• Proficiency with SQL for data extraction and manipulation.
• Advanced data visualization skills with Power BI/Tableau.
• Strong programming skills in Python or R for analysis and modeling.

Responsibilities

• Collect, clean, and transform large mining-related datasets.
• Perform statistical analyses and develop predictive models.
• Create dashboards and data visualizations using Power BI/Tableau.
• Communicate insights clearly to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define KPIs and data requirements.
• Develop data dictionaries and maintain data integrity.
• Automate reporting processes to improve efficiency.

Skills

SQL proficiency

Python

R

Data analysis

Education

Bachelor's degree in Data Science or related field

Tools

Power BI

Tableau

Job description

Placements24 is seeking a Remote Mining Data Analyst to analyze large mining datasets and generate insights that inform operational decisions. The role emphasizes building predictive models, creating dashboards, and collaborating with geologists, engineers, and operations managers in a fully remote setup.

The ideal candidate has a strong foundation in data manipulation, visualization, and statistics, with 4+ years in data analysis and experience in mining or related sectors.