Data & Reporting Analyst

Job description

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-quality controls, investigate exceptions and test, document and communicate changes to sources, definitions and calculations. Maintain technical and business documentation and support Finance users of the role’s datasets, reports and analytical solutions. Skills/Requirements: Degree or equivalent practical experience in data analytics, computer science, information systems, engineering, mathematics or a related quantitative field. Strong hands-on Power BI or comparable BI experience, covering data modelling, DAX or equivalent logic, dashboards, security and performance optimisation. Excellent written and verbal communication, explaining data, reporting logic and technical issues clearly to Finance and non-technical stakeholders. Advanced SQL and strong experience with relational databases, transformations, dimensional models and large datasets, including diagnosing quality and performance issues. Strong Microsoft 365 and Power Platform knowledge, particularly Excel, Power Query, Power Automate and related tools for analysis, workflow automation and controlled business solutions. Strong analytical and problem-solving skills, accuracy and ownership of business-critical data assets. Knowledge of Finance concepts, reporting cycles, reconciliations, controls, budgets and performance measures, plus experience supporting Finance, is desirable, not mandatory. Candidates must be able to develop this understanding to translate Finance needs into data solutions. No finance or professional accounting qualification is required. Practical understanding of AI-assisted analytics and automation, use-case evaluation, output validation, and data privacy, security and governance. Recognised as a both a Great Place to Work and Deloitte Best Managed Company, we believe that recognition goes much deeper than just financial rewards. Therefore, in addition to a competitive salary, we also offer an exclusive benefits package that includes: Competitive pension Flexible Working Policy with a combination of remote and office working and a flexible approach to working hours Competitive annual leave and a number of other leaves including IVF, compassion, marriage, maternity and paternity leave Employee-led CSR Programme, CluneTech Cares, with one paid Volunteer Day per year Death in Service Benefit Milestone Recognition Programme Professional & Personal Development Rewards & Recognition Employee Wellbeing Programme, CluneTech Life Transfermate is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for all employees. We are committed to building and maintaining a culture which is free from discrimination and harassment and where all employees can bring their best selves to work. This job description is intended as a summary of the primary responsibilities for this position. It is not an exhaustive list of all duties an individual in this position might be asked to perform or that may be required either now or in the future.