Coca-Cola
Manufacturing
Description
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.
Responsibilities
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.
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