Mining Operations Data Analyst Job Vacancy in Livingstone, Zambia – Mining

Job Description

Position:Mining Operations Data Analyst

Company:BHP Billiton Zambia

Location:Livingstone, Zambia

Experience:3-5 years in data analysis, preferably within mining operations

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

Employment Type:Full-time

Industry:Mining

Department:Data & Analytics

Salary:SSP 30,000 – 45,000 per month

Vacancies:1

Company Overview

BHP Billiton Zambia is a leading global resources company with a strong presence in the Zambian mining sector. Operating world‑class copper and cobalt assets, BHP is committed to sustainable extraction, community development, and innovative technology adoption. The company’s core values emphasize safety, integrity, and performance excellence, making it an employer of choice for professionals seeking impactful careers in mining. As part of its strategic growth, BHP continuously invests in data‑driven decision making to enhance operational efficiency, reduce environmental impact, and drive long‑term value for stakeholders. This commitment creates a dynamic environment where analytical talent can thrive and contribute to the future of mining in Zambia.

Job Overview

The Mining Operations Data Analyst will play a pivotal role in transforming raw operational data into actionable insights that support production optimization, cost reduction, and safety improvements across BHP’s Livingstone mining complex. Working closely with engineers, geologists, and senior management, the analyst will develop dashboards, predictive models, and reporting tools that enable data‑centric decision making. This position offers a unique opportunity to apply advanced analytics within a high‑impact industry, directly influencing the efficiency and sustainability of mining operations. For more information about the role and to explore other opportunities, visit our partner site https://zambiajobssearch.com.

Additional resources and regional career insights can be found at https://www.ghanajobsearch.com/.

Key Responsibilities

• Collect, clean, and integrate data from production, maintenance, and safety systems.
• Design and maintain interactive dashboards using Power BI or Tableau to monitor key performance indicators.
• Develop predictive models to forecast equipment failures, ore grade variations, and energy consumption.
• Collaborate with cross‑functional teams to identify analytical opportunities that improve operational efficiency.
• Prepare regular and ad‑hoc reports for senior leadership, highlighting trends, risks, and recommendations.
• Ensure data governance standards are adhered to, maintaining data integrity and security.
• Support continuous improvement initiatives by providing data‑driven insights.

Required Skills

• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with data visualization tools such as Power BI, Tableau, or Qlik.
• Strong statistical and predictive modeling capabilities.
• Understanding of mining processes, equipment, and key operational metrics.
• Excellent communication skills to translate complex data findings into clear business recommendations.
• Ability to work independently and as part of multidisciplinary teams.

Education

A Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline is required. Advanced certifications or a Master’s degree in analytics, mining engineering, or a similar field are considered an asset.

Experience

Applicants should have 3‑5 years of professional experience in data analysis, preferably within the mining or heavy‑industry sector. Demonstrated experience in building predictive models and delivering actionable insights in an operational environment is essential.

Salary

The position offers a competitive salary range of SSP 30,000 to SSP 45,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and incentives are also part of the compensation package.

Benefits

• Comprehensive health insurance covering employee and dependents.
• Retirement savings plan with company matching contributions.
• Paid annual leave and statutory holidays.
• Professional development allowance for certifications and training.
• Employee assistance program and wellness initiatives.

Training

• On‑boarding program covering BHP’s safety culture, data governance, and mining operations.
• Access to internal learning platforms for advanced analytics, machine learning, and industry‑specific tools.
• Mentorship from senior data scientists and mining engineers.

Working Environment

BHP provides a collaborative, safety‑first workplace that encourages innovation and continuous learning. The Livingstone site combines modern office facilities with on‑site access to mining operations, offering a unique blend of analytical work and field exposure. Employees benefit from a supportive culture that values diversity, inclusion, and work‑life balance.

Application Process

Interested candidates should submit their application through the BHP Careers portal, attaching a tailored resume and a cover letter highlighting relevant experience and motivation for the role. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for virtual interviews followed by an on‑site assessment.

Equal Opportunity Statement

BHP Billiton Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, disability, or any other protected characteristic. Our hiring practices reflect our dedication to fairness and meritocracy, ensuring that every applicant receives equal consideration.