Data Reporting Analyst at TransferMate Global Payments
County Kilkenny, Ireland — full-time
TransferMate – a subsidiary of CluneTech – was established in 2010 when we began working with regulators around the world to secure licenses to operate as a global payment’s provider. With a global payments network covering 200+ countries and territories, TransferMate have established partnerships with some of the largest banks, fintechs and software providers in the world. The combination of our regulated network, award winning technology and strategic partnerships culminated in 2022 when the business achieved Unicorn status. Our team is dedicated to delivering the best possible experience for our partners and their customers. We know that a happy team is one that performs at the highest level and our #OneTeam ethos encourages mutual support, respect, recognition, and rewards. In Ireland, we have been recognised as a Great Place to Work for 11 consecutive years, with 35 offices worldwide, we do business across 100+ countries on a daily basis. As Data and Reporting Analyst – Finance, you will be the link between Finance and Analytics, translating Finance requirements into trusted datasets, reports, analytical models and controlled automation. This is a data role, not an accounting or finance practitioner role. Using technical expertise, analytical judgement and business partnership, you will deliver solutions that improve information accuracy, efficiency and accessibility, strengthen controls and support decisions. Responsibilities include: Build and maintain reliable pipelines, transformations, data models and reporting datasets using SQL and appropriate integration tools, with validation, documentation and monitoring. Translate Finance requirements into scalable models, reports, dashboards and workflow prototypes, documenting business definitions, calculation logic and acceptance criteria. Develop and govern reusable Finance datasets, semantic models and reporting standards for analysts and stakeholders, with clear definitions, lineage, access controls and quality checks. Own multiple data and reporting initiatives, managing priorities, dependencies, risks and stakeholder expectations to deliver accurate, tested solutions on time. Partner with Finance stakeholders and experts on reporting, planning, reconciliation and controls, clarifying requests and turning agreed needs into robust data and reporting solutions. Analyse financial and operational data to explain performance, variances and emerging issues, identify root causes and seek further evidence where conclusions remain unsupported. Work to deliver appropriate AI uses in Finance reporting: assisted analysis, anomaly detection, forecasting support, documentation and natural-language access to governed data, with human review and sensitive-information controls. Use automation, low-code tools and AI workflows to reduce manual data preparation, recurring reporting and avoidable Finance administration, retaining approvals, auditability and exception handling. Establish and monitor Finance data