Job Title

Data Quality Analyst

Overview

This role, based in London (Hybrid), is to ensure our data assets are accurate, secure, and actionable. You’ll play a pivotal role in maintaining data quality standards, implementing governance policies, and supporting strategic business decisions. If you enjoy bridging business and technology, have a keen eye for detail, and are passionate about improving data processes, this role is for you.

Location

London, United Kingdom (Hybrid)

Key Responsibilities

• Develop and implement a comprehensive data governance framework.
• Create, implement, and maintain data governance policies and procedures in line with regulatory requirements.
• Collaborate with data owners and stewards to define, monitor, and improve data quality metrics.
• Maintain a data catalog, taxonomy, and data lineage documentation.
• Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making.
• Develop and deliver training to raise awareness of data governance principles across the organization.

What We’re Looking For

Must-Have:

• 3+ years’ experience in data governance, data management, or related fields.
• Proven track record in developing and implementing data governance policies in regulated environments.
• Familiarity with data management technologies and tools, including data catalogues, data lineage, and quality tools.
• Strong stakeholder management skills, capable of bridging the gap between technical teams and business units.
• Experience in the insurance or underwriting sector, particularly the Lloyd’s market.
• Degree in Information Systems, Computer Science, Business Administration, or related field.
• Experience working in Agile/Scrum environments.
• Knowledge of regulatory standards, such as Solvency II.
• Exposure to tools such as Atacama and DQPro.

Additional Information

Relevant information and context provided by Arthur Recruitment. This content is intended to inform candidates about the role and its requirements.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: Insurance