Requirements Summary

The ideal candidate will have experience in data quality, data operations, or BI/MDM, with a strong understanding of data governance principles and experience with DQ tooling and/or data catalogues

Benefits

Full Job Description

Role Overview The Data Quality Analyst plays a critical role in ensuring the organisation maintains accurate, complete, and reliable data that underpins the core Cube product, its golden data source, regulatory compliance, reporting, analytics, automated decisioning, and operational efficiency. What You Will Do The Data Quality Analyst will identify, investigate, and resolve data quality issues across key systems, assess data errors, determine root causes, implement robust remediation actions, and apply controlled corrections to data and ingestion procedures in line with agreed governance standards, approval processes, and audit requirements. Why It Might Be a Fit The Data Quality Analyst will utilise analysis of existing ingestion processes and BAU processes to implement improvements that enhance deliverables, remove routine manual work, and reduce margin for error. By improving the quality of data that underpins the Cube product and customer journeys, the Data Quality Analyst plays an essential part in enhancing customer experience, preventing downstream errors, and ensuring customers receive accurate, timely, and dependable services. Requirements Experience in data quality, data operations, or BI/MDM within data critical environments (financial services advantageous) Handson exposure to MS SQL Server, Excel, and familiarity with SSIS or similar ETL tools Knowledge of data governance principles; experience with DQ tooling and/or data catalogues desirable Relevant degree (data, IT, business, or related) or equivalent experience; certifications (e.g., DAMA/CDMP, Microsoft) a plus Benefits Dental insurance Vision insurance Health insurance Paid holidays Life insurance Retirement plan Stock options Flexible working hours Opportunities for professional development Diversity and inclusion Equal opportunities employer

Skills and Technologies