Data quality analyst and advocate for improved data governance in the evolution of data pipelines into a new reporting platform. Oversaw the building of an enterprise data warehouse, focusing on standardizing and cleansing data so that it was fit for use for analysis and cross sales initiatives.• Advocated for technical guardrails in new system design to improve future data quality.• Provided data governance oversite for data model and field values for a new sales, customer service and tour delivery platform to ensure that data points are clear and usable for analytics and reporting.• Gathered technical definitions for new reporting and data engineering platform from three legacy source systems. Collaborated with technical product owners and data engineers to ensure accuracy of transformed data. Performed QA and UAT testing on newly built data sets and reports, identifying multiple areas for improvement. • Created a data dictionary to ensure analysts and business consumers of reports understand the data’s meaning.• Adapted data from 10+ legacy systems to conform to a single enterprise data warehouse (EDW) data model to build consistency across product lines and support planned transition to new enterprise platform. • Documented EDW field definitions to assist analysts in developing SQL queries to accurately extract data. • Developed queries to leverage the EDW to support new marketing initiatives through Salesforce Marketing Cloud and customer reviews through Trust Pilot.• Identified a significant data error impacting 10% of the customer file; after data was restored by vendor, designed alternative EDW requirements and process to ensure similar issue would not recur.• Directed vendor on data model and system of record mapping during EDW build; performed user acceptance testing before approving for production.