Financial Analyst – Mining Industry

Job Summary We are seeking a detail-oriented Financial Analyst to support financial planning, cost control, and investment decision-making within our mining operations. The ideal candidate will analyze production costs, budgets, and capital expenditures to provide insights that drive profitability and support strategic decision-making. Strong financial analysis skills and a minimum of 5 years of relevant experience are essential; prior exposure to the mining industry is beneficial but not required, as on-the-job orientation will be provided. • Designing and maintaining financial models and reporting systems; identifying and correcting errors in financial data. • Gathering financial and operational data from primary sources (site production reports, procurement systems, ERP) and secondary sources (market reports, regulatory filings). • Analyzing operational costs and key financial KPIs to evaluate efficiency and profitability. • Building financial models to forecast costs, revenues, capital expenditure needs, and cash flow projections. • Demonstrating the significance of financial trends in the context of broader market and economic conditions affecting the organization. • Preparing budget variance reports, forecasts, and financial presentations for executive leadership and site management. • Supporting capital project evaluations through NPV, IRR, and payback period analysis. • Creating clear documentation of financial models and assumptions so analyses can be reviewed, audited, or replicated. • Cleaning and reconciling financial data across departments, cost centers, and reporting periods to ensure accuracy. • Generating insights on cost drivers, margin trends, and risk exposure. Technical Skills • Advanced Microsoft Excel skills (financial modeling, pivot tables, macros) • Proficiency with ERP/financial systems (SAP, Oracle, or similar) • Strong understanding of financial statement analysis, budgeting, and forecasting • Knowledge of capital budgeting techniques (NPV, IRR, payback period, sensitivity analysis) • Proficiency with BI/reporting tools (Power BI, Tableau) for financial dashboards • Basic familiarity with the mining industry (cost structures, commodity price exposure) is an advantage but not essential . Analytical & Soft Skills • Strong analytical and critical-thinking skills • High attention to detail and accuracy in financial reporting • Ability to translate complex financial data into clear insights for both technical and non-technical stakeholders • Strong communication and presentation skills • Comfortable collaborating across departments and functions • Ability to manage multiple deadlines (monthly close, budgeting cycles, project evaluations) • Willingness and ability to quickly learn mining-specific operational and financial concepts Qualifications • Bachelor's degree in Finance, Accounting, Economics, or a related field (MBA or CFA a plus) • Minimum of 5 years of experience in data/financial analysis (industry-agnostic experience welcome) • Prior exposure to mining, manufacturing, or heavy industry is a plus, but not Required • Professional certification (CFA, CPA, or CMA) is a plus Show more Show less

Bachelor's degree in Finance, Accounting, Economics, or a related field (MBA or CFA a plus). Minimum of 5 years of experience in data/financial analysis. Prior exposure to mining, manufacturing, or heavy industry is a plus, but not required.

Designing and maintaining financial models and reporting systems; gathering financial and operational data from primary and secondary sources; analyzing operational costs and key financial KPIs; building financial models to forecast costs, revenues, capital expenditures, and cash flow; preparing budget variance reports, forecasts, and financial presentations for executive leadership and site management; supporting capital project evaluations through NPV, IRR, and payback period analysis; creating documentation of financial models and assumptions; cleaning and reconciling financial data across departments and reporting periods; generating insights on cost drivers, margin trends, and risk exposure.