Interim Data Visualisation Specialist

We are looking for a part-qualified or qualified accountant with strong data and automation skills to lead a structured data validation and integrity project. The successful candidate will play a key role in ensuring that large volumes of financial and operational data are accurate, consistent, and reliable before being used for analytics and decision-making. This role sits at the intersection of finance, systems, and data, offering a great opportunity to shape data quality standards and influence how information flows across the business. Key Responsibilities • Use RPA tools, coding, or scripting (e.g. Python, SQL, VBA, or Alteryx) to validate and reconcile large datasets across multiple systems. • Identify data inconsistencies, anomalies, and root causes within financial and operational data. • Collaborate with key business users to document, prioritise, and action data corrections required for reporting and analytics. • Partner with systems development and IT teams to design structural fixes and automate controls that prevent data errors recurring. • Develop robust validation frameworks and reporting routines to monitor ongoing data quality. • Support testing, documentation, and sign-off of improvements implemented through RPA or system configuration changes. • Provide subject matter insight to ensure data used for analytics and forecasting is accurate, trusted, and fit for purpose. Candidate Profile Essential • Part-qualified or qualified accountant (ACA / ACCA / CIMA or equivalent). • Strong experience working with large or complex datasets within finance or data-driven environments. • Demonstrable experience using RPA tools or coding/scripting to automate validation and reconciliation processes. • Excellent analytical and problem-solving ability with strong attention to detail. • Proven capability to engage with both finance and technical stakeholders to resolve data issues at source. Desirable • Exposure to data transformation, BI tools, or system implementation projects. • Knowledge of financial systems architecture or data governance frameworks. • Understanding of how high-quality data underpins analytics, dashboards, and forecasting models. This role is offered on a 12-18 month Fixed Term Contract Basis