Data Quality Analyst

A market leading Insurance Company is looking for an experienced Data Quality Analyst to support the implementation of Data Quality framework and to help embed a culture of excellence in Data Quality within the company. As DG Analyst you will work under guidance of Data Quality Lead, supporting and delivering large-scale insurance data projects.

Responsibilities:

• Collaborate with other teams in the business to implement good Data Quality practices. Support partners in gaining true insight from data by ensuring the Data Quality is run in an appropriate way.
• Lead the scope, design, implementation and rollout of a Data Quality framework (including data quality reporting, dashboards, process improvement agenda etc.).  
• Assist in the implementation of Data Quality processes (including controls, critical data, escalation procedures, quality targets etc.). 
• Assist with the design and deployment of processes to monitor Data Quality. 
• Help to manage procedures for Data Quality errors and remediation. 
• Build deep technical and business stakeholder engagement to ensure their needs are met. Contribute to the existing programmes of work from Data Quality perspective (Master Data Management Project (Reltio), the Data Governance (Collibra), the Data Platform etc.).  
• Run Collibra Data Quality tooling development, maintenance and usage.

Requirements

• Experience of working as a Data Quality Analyst or similar role (at last 2 years). Experience of implementing Data Quality/Data Governance projects in large organisation(s). 
• Able to articulate sophisticated technical themes to business stakeholders. 
• Experience with metadata and Data Quality tools (e.g. Ataccama, Informatica.IDQ etc.). 
• Experience with data governance tools (e.g. Collibra, Reltio, Informatioca, Orchestra
• Networks etc.).
• Competent with at least some of the following: MS SQL Server, T-SQL, SSRS, SSIS,
• SSAS, SAS / WPS, .net, ETL, Data Warehousing, Azure DevOps, Octopus, PowerShell, Agile development.