Remote Senior Data Analyst - Mining Ops & Insights

Placements24; Newlands; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Health insurance

Paid time off

Professional development budget

Home office stipend

Job summary

Placements24 is seeking a Senior Data Analyst to join a globally distributed team, working remotely to support mining operations. You will transform complex data into actionable insights that drive efficiency, safety, and profitability.

You will build dashboards with Tableau or Power BI, perform advanced SQL analyses, and collaborate with mine managers, engineers, and stakeholders to forecast needs and allocate resources for optimal performance.

Qualifications

• Bachelor's degree in a quantitative field is required.
• Minimum 5 years of data analysis experience, preferably with operational/industrial data.
• Advanced SQL and data manipulation skills.
• Strong experience with data visualization tools (Tableau/Power BI).
• Excellent written and verbal communication, especially for remote teams.

Responsibilities

• Collect, clean, and analyze large datasets from mining operations.
• Develop and maintain dashboards and reports to visualize KPIs.
• Identify trends and opportunities to improve efficiency, safety, and profitability.
• Collaborate with cross-functional teams to understand data needs.
• Develop predictive models and forecasts to support decision-making.
• Communicate complex findings clearly to technical and non-technical audiences.

Skills

SQL

Data analysis

Communication

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mining Engineering, or related quantitative field

Tools

Tableau

Power BI

Job description

Placements24 is seeking a Senior Data Analyst to join a globally distributed team, working remotely to support mining operations. You will transform complex data into actionable insights that drive efficiency, safety, and profitability.

You will build dashboards with Tableau or Power BI, perform advanced SQL analyses, and collaborate with mine managers, engineers, and stakeholders to forecast needs and allocate resources for optimal performance.