Sustainable Mining Data Analyst Job Vacancy in Quthing, Lesotho – Mining & Data Analytics

Data Analyst
Quthing
July 20, 2026
Full Time
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Job Description

Position: Sustainable Mining Data Analyst

Company: BHP

Location: Quthing, Lesotho

Experience: 3-5 years

Education: Bachelor’s degree in Data Science, Mining Engineering, or related field

Employment Type: Full-time

Industry: Mining & Data Analytics

Department: Data & Insights

Vacancies:1

Company Overview

BHP is a world‑leading resources company with a legacy of over a century in sustainable mining practices. Operating across continents, BHP is committed to delivering value while protecting the environment and supporting local communities. In Lesotho, BHP partners with the Ministry of Mining and local stakeholders to develop responsible mining projects that create jobs, foster skills development, and contribute to national economic growth. As part of its strategic expansion, BHP is establishing a data‑driven hub in Quthing to harness advanced analytics for safer, more efficient, and environmentally conscious mining operations. This initiative aligns with the global push for sustainable resource extraction and offers a unique platform for professionals seeking impactful careers in Lesotho.

Job Overview

The Sustainable Mining Data Analyst will play a pivotal role in transforming raw mining data into actionable insights that drive operational excellence, safety improvements, and sustainability outcomes. Working closely with geologists, engineers, and environmental specialists, you will design and implement analytical models, dashboards, and reporting tools that support decision‑making across the mine lifecycle. This position is central to BHP’s commitment to innovative, data‑centric mining and offers a rare opportunity to influence the future of the sector in Lesotho.

Explore more opportunities at Lesotho Job Search.

Key Responsibilities

  • Collect, clean, and integrate data from drilling, production, environmental monitoring, and equipment sensors.
  • Develop predictive models to forecast equipment failures, optimize ore extraction, and reduce energy consumption.
  • Create interactive dashboards and visualisations for senior management, field teams, and regulatory bodies.
  • Collaborate with health, safety, and environment (HSE) teams to quantify risk metrics and support compliance reporting.
  • Conduct spatial analysis using GIS data to identify high‑potential mineral zones while minimizing ecological impact.
  • Provide training and mentorship to local staff on data‑analysis tools and best practices.
  • Stay abreast of emerging technologies such as machine learning, IoT, and cloud analytics to continuously improve analytical capabilities.

Required Skills

  • Proficiency in data‑analysis languages (Python, R) and SQL databases.
  • Experience with data‑visualisation platforms (Power BI, Tableau, or similar).
  • Strong understanding of mining processes, geology, and environmental monitoring.
  • Ability to translate complex data sets into clear, actionable recommendations.
  • Excellent communication skills for cross‑functional collaboration.
  • Problem‑solving mindset with a focus on sustainability and safety.

Education

A bachelor’s degree in Data Science, Mining Engineering, Geosciences, Environmental Science, or a related discipline is required. Advanced certifications in analytics, machine learning, or GIS are highly desirable and will be considered an asset during the selection process.

Experience

Candidates should have 3‑5 years of professional experience in data analytics, preferably within the mining, natural resources, or heavy‑industry sectors. Demonstrated experience in developing predictive models, creating dashboards, and working with large, heterogeneous data sets is essential.

Benefits

  • Competitive salary aligned with international standards.
  • Comprehensive health and dental coverage for you and your dependents.
  • Retirement savings plan with employer contributions.
  • Annual performance‑based bonuses.
  • Professional development budget for certifications, conferences, and training.
  • Relocation assistance and housing allowance for Quthing.
  • Paid parental leave and flexible working arrangements.

For regional insights, visit South Sudan Job Search.

Training

  • On‑boarding program covering BHP’s safety culture, sustainability policies, and data governance framework.
  • Technical workshops on advanced analytics, machine learning, and GIS applications.
  • Leadership development modules for high‑potential analysts.
  • Mentorship pairing with senior data scientists and mining engineers.

Working Environment

BHP offers a collaborative, inclusive workplace where innovation is encouraged. Our Quthing office combines modern office facilities with easy access to the mine site, enabling analysts to work closely with field teams. The company promotes a culture of safety, respect, and continuous learning, ensuring that every employee can thrive while contributing to sustainable mining practices.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the online portal on our website. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment at the Quthing facility.

Equal Opportunity Statement

BHP is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, ethnicity, religion, sexual orientation, or disability. Our hiring practices reflect our dedication to fairness and the belief that diverse perspectives drive better business outcomes.

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