Data Quality Specialist
CurrentReview the quality of the data available within the warehouse platform and produce data extracts for the multiple funders based on their specific business requirements. This involve developing and designing processes to be run on a regular basis to ensure that the agreements adhered to the strict criteria and rules for funding by the clients.• Review the data sources ( Equiniti, MotorMart ) utilising SSMS on an Azure platform• Resolve data alignment and quality issues with business stakeholders• Managed development and QA of SQL scripting to implement the process to BAU level• Mapping and modelling within the SQL server to create customer profiles As the business progressed, the automated approach to monitor ongoing data quality and maintaining the extracts with additional information was expanded to utilise the original concept of static customer profiling to include processes for the likes of banking (collections), asset sales and terminations. The development process moved from the original monthly extracts to regular supplementary extracts (twice weekly) and eventually to daily processing to highlight and resolve any data issues and funder requests quickly and efficiently.