Remote Data Analyst – Mining & Resource Insights

Golden Agri Resources; Kota Medan ᯔᯩᯑᯉ᯲; Remote; IDR 133,920,000 - 200,880,000; Full time

Benefits offered by this job

Bonuses

Remote work

Health insurance

Vision & dental

Professional development budget

Job summary

Golden Agri Resources is seeking a Remote Data Analyst to join a global resource management team. You will analyze large mining-related datasets, identify trends, and provide actionable insights to support strategic decisions in resource extraction.

The role emphasizes dashboards, KPI visualization, and collaboration with geologists, engineers, and management. A strong background in data analysis and remote teamwork is essential for success in this globally distributed, data-driven environment.

Qualifications

• Bachelor's degree in data-related field.
• 3+ years as a Data Analyst, preferably in natural resources or mining.
• Proficiency in Python, SQL, and data visualization tools.
• Strong analytical and remote collaboration skills.

Responsibilities

• Collect, clean, and organize large mining-related datasets.
• Develop dashboards and reports to visualize KPIs on resource extraction.
• Perform statistical analyses to identify trends and anomalies.
• Collaborate with geologists, engineers, and management to interpret data.
• Automate data collection and reporting to improve efficiency.
• Present findings clearly to technical and non-technical audiences.

Skills

Python

SQL

Tableau

Power BI

Data storytelling

Education

Bachelor's in Data Science

Statistics or Economics

Tools

Looker

Pandas

NumPy

SQL

Job description

Golden Agri Resources is seeking a Remote Data Analyst to join a global resource management team. You will analyze large mining-related datasets, identify trends, and provide actionable insights to support strategic decisions in resource extraction.

The role emphasizes dashboards, KPI visualization, and collaboration with geologists, engineers, and management. A strong background in data analysis and remote teamwork is essential for success in this globally distributed, data-driven environment.