About this role
In order to work in Ireland a non-EEA National, unless they are exempted, must hold a valid employment permit. Please review the Eligibility and requirements for an employment permit if you are unsure of your eligibility to apply for this vacancy. Analyse complex finance and accounts-payable business requirements, identifying operational problems, control deficiencies, supplier-payment challenges and process inefficiencies and translating them into structured analytical requirements and data-driven business solutions. Evaluate large-scale accounts-payable, supplier, procurement, purchasing and financial datasets using advanced statistical and mathematical techniques to identify trends, correlations, behavioural patterns, anomalies, cost drivers and commercially significant relationships. Conduct sophisticated data-mining analysis across invoice, supplier, purchase-order, goods-received, payment and general-ledger datasets to identify duplicate transactions, unusual payment behaviour, pricing variances, exception patterns and emerging financial-control risks. Develop predictive and statistical models using regression, classification, clustering, trend analysis and other quantitative methodologies to forecast invoice volumes, payment requirements, supplier activity, processing workloads, exception rates and accounts-payable performance. Construct analytical models to assess supplier-payment behaviour, invoice processing patterns, outstanding liabilities, aged balances, working-capital movements and payment-cycle performance, quantifying their financial and operational implications.