Invoice Processing Analyst (Hybrid)

Job Summary
Business Support role performing routine AP/AR processing, coordination, verification, and transaction support using established procedures with moderate supervision.

Job Responsibilities

• Financial Management and Control - Enter data into standard company systems.
• Data Collection and Analysis - Perform basic data entry tasks, including data verification.
• Administration - Conduct data entry into company systems, and file information using established procedures to ensure information is accurate and accessible.
• Client and Customer Management (Internal) - Exchange information with internal clients by having courteous interactions with them.
• Internal Communications - Exchange information with people by having courteous interactions with them.
• Data Management - Support others by carrying out basic data management tasks.
• Document Management - File records or documents as instructed.
• Document Preparation - Input content into standard templates. Also take responsibility for collating materials and photocopying them.

Applicable Skills

• Financial Accounting - Basic - Works at a basic level to apply financial accounting principles, classifying, measuring and recording company financial transactions. Typically works under close supervision.
• Budget and Control - Basic - Works at a basic level to create, analyze and monitor budgets in line with organizational and project/program criteria; identify trends and forecasts. Typically works under close supervision.
• Data Control - Basic - Works at a basic level to acquire, organize, protect and process data in order to fulfill business objectives. Typically works under close supervision.
• Computer Skills - Intermediate - Works at an intermediate level to understand and effectively use standard office equipment and standard software packages to support business processes. Typically works with guidance.
• Categorizing and Classifying Information - Basic - Works at a basic level to utilize systems and tools to support categorizing and classifying data and information. Typically works under close supervision.
• Database Reporting - Basic - Works at a basic level to use database reporting tools and techniques. Typically works under close supervision.
• Data Collection and Analysis - Intermediate - Works at an intermediate level to determine and analyze trends from data that is collected to assist in compiling reports that will help in decision-making. Typically works with guidance.
• Numerical Skills - Basic - Works at a basic level to understand numerical concepts and use them to carry out mathematical operations e.g. in order to analyze reports. Typically works under close supervision.
• Management Accounting - Basic - Works at a basic level to professionally interpret financial information to support business decision making. Typically works under close supervision.
• Financial analysis - Basic - Applies elementary concepts of knowledge / skill to develop activities assigned under supervision
• Costing and Budgeting - Basic - Works at a basic level to systematically estimate, allocate, and control costs in order to manage financial resources effectively. Typically works under close supervision.
• Financial Modelling - Basic - Works at a basic level to develop financial and economic models for financial planning or monitoring purposes. Typically works under close supervision.
• Data Conversion - Basic - Works at a basic level to use data conversion tools and techniques to encode data in various formats. Typically works under close supervision.
• Financial Auditing - Basic - Works at a basic level to conduct financial audits, identifying exceptions and developing specific solutions or recommendations. Typically works under close supervision.

Qualifications:

• Bachelor's degree in Accounting or Finance.
• Good English communication skills required and Good Presentation skills
• Strong attention to detail and accuracy.
• Excellent communication and stakeholder management skills.
• Ability to manage multiple tasks and meet deadlines.
• Problem-solving and analytical mindset
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.