Senior Data Analyst - Mining Operations

Placements24; Houston (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Remote work stipend

Home office setup allowance

Flexible working hours

Professional development & conference

Job summary

Placements24 is seeking a highly analytical Senior Data Analyst to join a remote team focused on optimizing mining operations. You will leverage data from exploration, production, and processing to identify trends, generate insights, and drive data-informed decisions across the organization.

The role requires a Master’s in a quantitative field and at least 7 years of experience, with strong Python or R, SQL, and data visualization (Tableau/Power BI/QlikView) skills.

Qualifications

• Master's degree in a quantitative field is required.
• 7+ years of experience as a Data Analyst or similar role focusing on operational data analysis.
• Proficiency in Python or R for data manipulation and analysis.
• Strong SQL/database management experience.
• Expertise in data visualization tools (Tableau, Power BI, QlikView).
• Excellent analytical, problem-solving, and communication skills for non-technical audiences.

Responsibilities

• Collect, clean, and analyze large, complex datasets related to geological surveys, production volumes, equipment performance, and operational costs.
• Develop and implement predictive models to forecast operational outcomes, identify risks, and optimize resource allocation.
• Create reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate with operations, geology, and finance to understand data needs and provide analytical support.
• Identify KPIs and develop metrics to track mining operation efficiency and effectiveness.
• Stay updated on new data analysis techniques and technologies for mining industry.

Skills

Python

R

SQL

Analytical thinking

Education

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

Tools

Tableau

Power BI

QlikView

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Data Analyst to join their remote team, focusing on optimizing mining operations . In this role, you will leverage vast datasets from exploration, production, and processing to identify trends, generate insights, and drive data-informed decision-making across the organization. You will play a critical part in enhancing efficiency, reducing costs, and improving safety by transforming raw data into actionable intelligence. This is an exceptional opportunity for a data-savvy professional to make a substantial impact in the mining sector from a remote work setting.

Key Responsibilities

• Collect, clean, and analyze large, complex datasets related to geological surveys, production volumes, equipment performance, and operational costs.
• Develop and implement predictive models to forecast operational outcomes, identify potential risks, and optimize resource allocation.
• Create insightful reports, dashboards, and visualizations (using tools like Power BI, Tableau) to communicate findings to stakeholders.
• Collaborate with various departments (e.g., operations, geology, finance) to understand their data needs and provide analytical support.
• Identify key performance indicators (KPIs) and develop metrics to track the efficiency and effectiveness of mining operations.
• Stay abreast of new data analysis techniques and technologies relevant to the mining industry.

Requirements

• Master's degree in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
• Minimum of 7 years of experience as a Data Analyst or in a similar role, with a focus on operational data analysis .
• Proficiency in programming languages such as Python or R for data manipulation and analysis.
• Strong experience with SQL and database management.
• Expertise in data visualization tools (e.g., Tableau, Power BI, QlikView).
• Excellent analytical, problem-solving, and communication skills, with the ability to explain complex data insights to non-technical audiences.

Benefits

• Highly competitive salary with annual performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous remote work setup allowance and home office stipend.
• Flexible working hours and a supportive remote work culture.
• Opportunities for professional development, certifications, and conference attendance.