Qualifications and Experience:

Education

• BSc degree in Statistics and/or Data Science.
  
• CPA / ACCA Finalist
  
• Data analysis / data mining certification will be added advantage.
  

Experience

• 2-3 yrs experience in data analysis
  

Skills

• Strong analytical skills with a deep understanding of product and industry knowledge.
  
• Excellent attention to detail for accurate financial analysis and reporting.
  
• Excellent interpersonal skills for building relationships with stakeholders.
  
• Motivational and presentation skills to effectively communicate financial insights and strategies.
  
• Customer-focused approach with strong negotiation skills.
  
• Expertise in revenue management to drive profitability and customer satisfaction.
  
• Strategic thinker with insights into industry trends and competitor activities.
  
• Ability to develop and implement long-term financial strategies.
  
• Resilient and flexible, capable of working under pressure and adapting to changing circumstances.
  
• Ability to maintain performance and productivity in a dynamic environment.
  
• Effective conflict handling and problem-solving abilities to address financial and operational challenges.
  
• Ability to resolve issues swiftly and efficiently, ensuring smooth financial operations.
  
• Ability to coach and lead teams, inspiring them to achieve results.
  
• Act as an ambassador for the company and its brands, promoting a positive image.
  
• Understanding of evolving business needs and the ability to adapt systems for added value.
  
• Focus on execution excellence and maintaining high standards in all financial activities.
  

Financial Data Management and Reporting

• Reconcile and highlight discrepancies in financial data and reporting across various financial systems.
  
• Resolve system issues by logging calls or asking users to correct incorrect postings, addressing mapping issues with master data between systems.
  
• Prepare and circulate the finance master data mapping file ahead of month-end and budgeting periods.
  
• Develop simple financial tools to meet business reporting requirements.
  
• Extract and reconcile financial data from ERP systems to data warehouses and statutory reporting platforms.
  
• Build reports to optimize existing finance reporting and enhance data analytics.
  
• Ensure effective implementation of local and national promotions through accurate financial reporting.
  

Financial System Analysis and Optimization

• Conduct financial analyses to support finance system investigations, providing insights and context.
  
• Identify opportunities to digitize and automate finance systems and processes, driving digital transformation and optimization.
  
• Collate information to understand current finance system processes for mapping and scoping.
  
• Debrief finance specifications with developers to ensure clarity of project scope and solution requirements.
  
• Design and conduct User Acceptance Testing (UAT), preparing and resolving lists of system deficiencies.
  
• Provide input in developing training materials and project plans, and track project performance to highlight risks, opportunities, and success factors.
  
• Analyze data and provide insights for post-implementation reviews and resolve post go-live support queries.
  

Governance and Compliance

• Log requests with the Master Data team to manage finance master data on the ERP System.
  
• Provide feedback to business stakeholders on the progress of logged requests.
  
• Conduct quarterly self-assessments to identify non-compliance areas in finance systems and master data.
  
• Attend quarterly stock counts to ensure accurate stock reporting.
  
• Provide required information for Corporate Audit Division (CAD) and internal/external auditors to assess internal controls compliance and correct accounting aligned with IFRS.
  
• Implement action plans to close audit findings and mitigate business risks.
  

Project Support and Performance Tracking

• Track, analyze, and report on project performance throughout the project life cycle.
  
• Highlight areas of risk, opportunity, and success factors in finance system projects.
  
• Analyze data for post-implementation reviews and provide insights for system improvements.