Mining Data Analyst Job Vacancy in Mufulira, Zambia – Mining & Metals
Job Description
Position: Mining Data Analyst
Company: Rio Tinto Zambia
Location: Mufulira, Zambia
Experience: 3-5 years
Education: Bachelor’s degree in Data Science, Statistics, Computer Science, or related field
Employment Type: Full-time
Industry: Mining & Metals
Department: Data & Analytics
Salary: SSP 30,000 – 45,000 per month
Vacancies:1
Company Overview
Rio Tinto Zambia is a leading global mining corporation with a strong presence in the Copperbelt region. As part of Rio Tinto Group, the Zambian subsidiary adheres to the highest standards of safety, sustainability, and community engagement. The company invests heavily in technology and innovation to optimize extraction processes, reduce environmental impact, and create long‑term value for shareholders and local communities. With a workforce that reflects Zambia’s diverse talent pool, Rio Tinto Zambia offers rewarding career pathways and a culture that encourages continuous learning and professional growth. This role contributes directly to the company’s strategic objective of leveraging data‑driven insights to enhance operational efficiency and maintain its position as a top employer in Zambia Jobs.
Job Overview
The Mining Data Analyst will be responsible for collecting, processing, and interpreting large volumes of operational data from mining sites across the Copperbelt. Working closely with engineers, geologists, and senior management, the analyst will develop dashboards, predictive models, and actionable reports that support decision‑making and improve productivity. This position plays a pivotal role in Rio Tinto’s digital transformation journey, ensuring that data is transformed into a strategic asset. The role offers a unique opportunity to work in a dynamic environment, applying advanced analytics to real‑world mining challenges while contributing to sustainable development and career advancement in Zambia.
Key Responsibilities
- Extract, clean, and validate data from mining equipment, SCADA systems, and ERP platforms.
- Design and maintain interactive dashboards using Power BI or Tableau for real‑time performance monitoring.
- Develop predictive models to forecast equipment failures, ore grade variations, and production bottlenecks.
- Collaborate with cross‑functional teams to translate business requirements into analytical solutions.
- Prepare monthly and quarterly analytical reports for senior leadership, highlighting trends, risks, and opportunities.
- Ensure data governance standards are met, including data security, privacy, and compliance with regulatory frameworks.
- Provide training and support to end‑users on data tools and best practices.
Required Skills
- Proficiency in SQL, Python, or R for data manipulation and statistical analysis.
- Experience with data visualization tools such as Power BI, Tableau, or Qlik.
- Strong understanding of mining operations, equipment telemetry, and production workflows.
- Ability to develop predictive models using machine learning techniques.
- Excellent communication skills to convey complex insights to non‑technical stakeholders.
- Attention to detail and strong problem‑solving capabilities.
Education
A Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related discipline is required. A Master’s degree or relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist) are considered an advantage.
Experience
Applicants should have 3‑5 years of professional experience in data analysis, preferably within the mining, heavy‑industry, or energy sectors. Demonstrated experience in handling large datasets, building predictive models, and delivering actionable insights is essential.
Salary
The compensation package ranges from SSP 30,000 to SSP 45,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and long‑term incentive plans are also part of the total rewards structure.
Benefits
- Comprehensive health insurance covering medical, dental, and vision.
- Retirement savings plan with employer contributions.
- Paid annual leave, sick leave, and parental leave.
- Professional development budget for certifications, workshops, and conferences.
- Employee assistance program and wellness initiatives.
Training
- Onboarding program covering Rio Tinto’s safety culture, data governance policies, and mining operations.
- Continuous learning opportunities through internal e‑learning platforms and external courses.
- Mentorship pairing with senior data scientists and mining engineers.
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Working Environment
Rio Tinto Zambia offers a collaborative, inclusive, and safety‑first workplace. Employees work in modern office facilities in Mufulira, with occasional field visits to mining sites. The company promotes a culture of respect, diversity, and innovation, encouraging employees to share ideas that drive operational excellence. Flexible working arrangements are available where feasible, supporting work‑life balance while maintaining high performance standards.
Application Process
Interested candidates should submit an online application through the Rio Tinto careers portal, attaching a tailored CV and a cover letter highlighting relevant experience and motivation. Shortlisted applicants will undergo a technical assessment followed by virtual or onsite interviews with the hiring panel. The recruitment timeline typically spans four to six weeks from application submission to offer.
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Equal Opportunity Statement
Rio Tinto Zambia is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, sexual orientation, or any other protected characteristic. Our recruitment practices are designed to ensure fairness and transparency, providing all qualified candidates with equal access to career opportunities in Zambia.
