Senior Financial Analyst - Abuja at Dangote

Description

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.