Senior Accounts Payable Analyst

McSport; Robinhood; On-site; EUR 60,000 - 80,000; Full time

Job summary

McSPORT, UNIT 4, Robinhood Ind Est, Dublin 22, D22 A4P8, Ireland seeks a Senior Accounts Payable Analyst to analyse complex finance and AP requirements, identify inefficiencies, and translate findings into structured analytical solutions. You will evaluate large AP datasets and develop predictive models to forecast invoice volumes and payment activities.

The role focuses on data-driven insights to improve supplier payments, invoicing, and working capital while ensuring financial controls across

Qualifications

• Experience in accounts payable and data analysis.
• Ability to develop predictive models for financial datasets.
• Strong analytical and problem-solving skills.

Responsibilities

• Analyse complex finance and AP requirements and identify process inefficiencies.
• Identify operational problems and control deficiencies in supplier-payments.
• Develop data-driven solutions and predictive models for invoice and payment data.

Skills

Accounts payable

Data analysis

Statistical modelling

Financial data

Tools

SQL

Excel

Python

Job description

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Application Details

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.

Job Description

53.3202972412109;-6.34854602813721;MCSPORT , UNIT 4 , Robinhood Ind Est , Dublin 22 , D22 A4P8

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.

• Sector:

Career Level

• Experienced [Non-Managerial]

#JOB-2467716 - Senior Accounts Payable Analyst