Description Role: The Data Governance and Data Quality team ensures that data throughout Canopius remains accurate, reliable, and fit for purpose. This is achieved by proactively monitoring data quality and addressing data exceptions as they arise. As a centralised function, the team serves as the main point of contact for reporting data quality queries, carrying out root cause analyses on issues identified, whether related to data entry, process, system, or reporting concerns, and collaborating with data owners, stewards, or custodians to resolve problems and establish robust data quality checks. The team runs regular working group meetings with representatives from each business domain, including data owners, stewards, and custodians. These meetings provide a transparent forum for discussing and resolving data-related issues, fostering a culture that values and promotes data quality across Canopius. Discussions focus on prioritising data quality queries, reviewing raised items, tracking progress on outstanding issues, and ensuring accountability for follow-up actions. This role requires strong analytical and stakeholder management skills. The successful candidate will be expected to conduct thorough root cause analyses, clearly communicate the nature and impact of data issues, identify the appropriate stakeholders for remediation, and lead working group sessions. Additionally, the role involves developing data quality rules that align with established data standards and business requirements. Key Responsibilities: You will: Support the implementation and monitoring of data quality processes to ensure that organisational data is accurate, complete, timely, and fit for purpose. Undertake investigation and analysis of data quality issues as they are reported to identify and document the impact, the associated risk(s), the root cause(s), potential remediation options and preventative actions / controls that should be put in place to prevent recurrence. Liaise with data stewards in defining data quality standards, determining how they will be applied across the business, and implementing them as rules within the data quality software. Prepare presentation materials and lead data quality working group sessions. Monitor the performance of the data quality software. Support the development of data quality checks in the data quality software. Train business teams on the data quality software. Facilitate business user sessions to evaluate data quality rules and exception KPIs, ensuring that exception rules function as intended and that additional controls are developed in accordance with business needs. Skills and experience: Excellent analytical and problem solving skills. Strong Excel and data analysis skills. Strong SQL skills to analyse and manipulate data. Strong communication and stakeholder management skills. Knowledge of best practices in data quality analysis. Insurance Market domain knowledge is required. Power BI and Databricks knowledge is desirable.