Finance & Investment Data Analyst

Key Responsibilities Analyze and model large datasets related to manufacturing costs, raw material prices, production performance, utility consumption, and financial performance. Identify trends, risks, and opportunities to support data-driven business decisions. Develop and maintain interactive dashboards and reports using Power BI, Tableau, or similar analytical tools. Monitor key financial and operational metrics, including profitability, cost variances, productivity, and investment performance. Track and analyze commodity market trends, particularly copper, aluminum, polymers, and other strategic raw materials. Support procurement and business teams through forecasting models and pricing analysis to optimize purchasing decisions. Monitor Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) performance across production facilities. Identify financial leakages, cost optimization opportunities, and areas for operational improvement. Support investment evaluations through financial analysis, business case development, and profitability assessments. Develop insights into product margins, asset utilization, and return on investment. Build predictive models to support budgeting, forecasting, demand planning, and market trend analysis. Leverage advanced analytics to improve financial planning and strategic decision-making. Qualifications Bachelor's degree in Finance, Economics, Data Science, Statistics, Business Analytics, Industrial Engineering, or a related quantitative discipline. 2–5 years of experience in data analytics, financial analysis, business intelligence, investment analysis, or controlling within a manufacturing or industrial environment. Strong proficiency in Advanced Excel, Power BI, SQL, and data visualization tools. Experience with financial modeling, cost analysis, budgeting, forecasting, and profitability analysis. Knowledge of commodity markets, manufacturing cost structures, and investment evaluation methodologies is highly preferred. Experience with Python or R for data analytics and predictive modeling is a strong advantage. Strong analytical thinking, problem-solving, and stakeholder management skills. Show more