Finance Analyst at IpNX Nigeria Limited

Job Summary

• We are seeking a highly analytical and detail-oriented Finance Analyst to join our team. 
• The successful candidate will play a critical role in supporting strategic decision-making by providing accurate financial analysis, budgeting, forecasting, reporting, and business performance insights.

Key Responsibilities

• Conduct in-depth financial analysis to support business decisions, identify trends, and provide actionable insights.
• Develop and maintain financial models for budgeting, forecasting, and long-term planning.
• Analyze revenue streams, cost drivers, and profitability across different service lines, products, and customer segments.
• Prepare monthly, quarterly, and annual financial reports, including variance analysis and commentary.
• Support the month-end and year-end close processes, ensuring accuracy and timeliness in financial reporting.
• Monitor key performance indicators (KPIs) and prepare dashboards to track financial and operational performance.
• Partner with internal stakeholders (e.g., commercial, operations, procurement) to provide financial guidance and performance analysis.
• Perform cost-benefit analysis and evaluate business cases for new investments, projects, and initiatives.
• Ensure compliance with internal financial policies, accounting standards, and regulatory requirements.
• Contribute to process improvements and automation initiatives within the finance function.

Qualifications and Requirements

• Bachelor’s degree in Accounting, Finance, Economics, or a related discipline.
• Professional certification such as ACA, ACCA, CFA, or equivalent is highly desirable.
• 4 years of relevant experience in financial planning and analysis, preferably in the telecommunications or technology sector.
• Strong knowledge of financial modeling, budgeting, forecasting, and variance analysis.
• Proficiency in Microsoft Excel, PowerPoint, and ERP systems (e.g., Oracle, SAP, or similar).
• Experience with business intelligence tools (e.g., Power BI, Tableau).