Summary of the role
My Client, one of the UK's leading insurance companies, is looking for an experienced Technical Data Quality Analyst to support the implementation of Data Quality frameworks and to support the adoption of these across the Group. As a Technical Data Quality Analyst, you will work under the guidance of the Data Quality Lead, supporting and delivering analysis capabilities to large-scale insurance projects and business functions.
Key Responsibilities
Support the delivery and ongoing BAU maintenance of next-gen DQM Technology. Collaborate with stakeholders to identify functional and technical requirements and ensure these are fed through into solution design. Work with other Data Quality analysts to design, document, and optimise technical data quality rules based on established standards and best practices. Provide support, best practice advice, and assistance with data quality tools including our in-house application. Utilise SQL to create scripts that automate data quality rules and validations as well as proprietary tool configuration and scripting. Work closely with data engineers and technical teams to implement data quality checks within the data quality platforms. Create and execute test plans to validate the implementation of the data quality rules and perform rigorous data quality testing using SQL Server to ensure data adheres to quality standards. Essential
Experience with data quality tools (e.g., Ataccama, Informatica, IDQ, Trillium, etc.). Experience of working as a Data Quality Analyst, Data Engineer, or similar role. Able to articulate sophisticated technical themes to business stakeholders. Must have SQL select query experience. Coding experience in common scripting languages e.g., Python. Desirable
Insurance broking or wider Financial Services industry knowledge. Experience with data governance tools (e.g., Collibra, Reltio, Informatica, etc.). Any relevant qualification: Certificate in Insurance (CII Certificate). Working with AI technologies e.g., LLMs. Producing technical specifications. Databricks or equivalent.
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Support the delivery and ongoing BAU maintenance of next-gen DQM Technology. Collaborate with stakeholders to identify functional and technical requirements and ensure these are fed through into solution design. Work with other Data Quality analysts to design, document, and optimise technical data quality rules based on established standards and best practices. Provide support, best practice advice, and assistance with data quality tools including our in-house application. Utilise SQL to create scripts that automate data quality rules and validations as well as proprietary tool configuration and scripting. Work closely with data engineers and technical teams to implement data quality checks within the data quality platforms. Create and execute test plans to validate the implementation of the data quality rules and perform rigorous data quality testing using SQL Server to ensure data adheres to quality standards. Essential
Experience with data quality tools (e.g., Ataccama, Informatica, IDQ, Trillium, etc.). Experience of working as a Data Quality Analyst, Data Engineer, or similar role. Able to articulate sophisticated technical themes to business stakeholders. Must have SQL select query experience. Coding experience in common scripting languages e.g., Python. Desirable
Insurance broking or wider Financial Services industry knowledge. Experience with data governance tools (e.g., Collibra, Reltio, Informatica, etc.). Any relevant qualification: Certificate in Insurance (CII Certificate). Working with AI technologies e.g., LLMs. Producing technical specifications. Databricks or equivalent.
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