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The Senior Financial Analyst will be responsible for financial modelling, forecasting, and analysis of the Backward Integration Program (BIP) for a sugar refinery. The role involves evaluating financial data, tracking key performance indicators (KPIs), and supporting decision-making processes to ensure the program achieves its financial objectives. This position requires expertise in financial modelling, data analysis, and industry-specific research to guide strategic decisions and optimize financial performance.
Roles & Responsibilities
Develop and maintain financial models for the BIP to support forecasting, budgeting, and financial planning activities.
Automate financial data analysis tools to keep the financial data up-to-date and accurate.
Analyse historical and current financial data to assess the BIP's financial health and identify trends. Ensure alignment with the Group's financial objectives.
Continuously assess capital and operational expenditures, identifying areas for cost optimization. Develop predictive financial models to support management in making informed decisions.
Establish benchmarks and KPIs to monitor the financial performance of the BIP. Track financial data against these benchmarks and alert stakeholders to any significant deviations.
Study industry-specific trends and utilize available research data to predict market movements.
Provide written reports and presentations to guide management’s strategic decision-making.
Create comprehensive financial reports and presentations that summarize findings and recommend strategies for meeting business goals.
Work closely with cross-functional teams, including procurement, operations, and management, to provide financial insights and guidance on project developments.
Requirements
Bachelor’s degree in Finance, Accounting, Economics, Business Administration, or a related field. An MBA or professional certification (e.g., CFA, CPA) is a plus.
Minimum of 7 years of experience in financial analysis and modelling, preferably within the sugar industry or other agribusiness sectors.
Advanced proficiency in Microsoft Excel for financial modelling and data analysis.
Familiarity with financial software and ERP systems (e.g., SAP) is an advantage.
Skills & Knowledge
Strong analytical capabilities with a focus on interpreting complex financial data.
High level of accuracy in financial modelling and data analysis.
Excellent written and verbal communication skills, with the ability to present financial data to non-financial stakeholders.
Ability to identify financial risks and opportunities and provide actionable recommendations.
Ability to prioritize tasks and manage multiple projects effectively.
Proactive and Self-Motivated: Ability to work independently and take initiative in addressing financial challenges.
Results-Oriented: Focused on achieving measurable outcomes and driving the program's financial success.
Adaptability: Flexible to changing priorities and able to thrive in a dynamic work environment.
Benefits
Private Health Insurance
Opportunities for Professional Growth and Career Advancement
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