Credit Analyst

Our Client is a respected global leader in distribution solutions, committed to delivering exceptional customer experiences through innovation, collaboration, and sustainable practices while investing in team development and operational excellence.

This pivotal hybrid position oversees credit operations and analytics to support business growth while maintaining strong risk management practices for the organisation's financial assets.

• Administer credit policies, procedures, and trade insurance programs including limit management and claims coordination.
• Deliver data-driven insights, KPI reporting, and performance analytics to guide credit team and senior management decisions.
• Oversee dunning processes, debtor ledger monitoring, un-applied cash handling, and dispute resolution activities.
• Lead process improvements, system utilisation training, and implementation of changes across the credit function.
• Conduct risk assessments, generate management reports including DSO, cash forecasting, and bad debt analysis.
• Manage insolvency notifications, security interests, and exception reporting to optimise collections and minimise risks.

You are an experienced credit professional with strong analytical capabilities and a proactive approach to process optimisation and team support in a fast-paced finance environment.

• Sound knowledge of credit policies, risk assessment, and accounts receivable processes in a commercial setting.
• Exceptional MS Excel, database, and data analytics skills with experience handling large data sets and reporting.
• Working knowledge of ERP systems, credit reporting tools, and databases for workflow management and insights.
• Proven ability to work independently, coach team members, and drive process improvements.
• Strong communication, customer service focus, and results-oriented mindset with high integrity and discretion.
• Relevant qualifications or experience in accounting/finance preferred; adaptable to change and target-driven.

• $100,000 competitive package
• Hybrid working arrangement (3 days office / 2 days WFH)
• Professional development and coaching opportunities
• Collaborative and supportive team culture
• Role focused on analytics and process leadership
• Access to modern systems and data tools
• Contribution to strategic business outcomes