Position Overview
The Master Data Governance Sr. Data Quality Analyst plays a critical role in building and establishing Ralph Lauren’s enterprise-wide data quality program. This position is responsible for driving the development, implementation, and continuous improvement of data quality initiatives that support the company’s global operations.As part of the Master Data Governance Group, whose mission is to improve efficiency and lower business risks for Ralph Lauren business units through consistent, high-quality data, the Sr. Data Quality Analyst will help operationalize the global data governance strategy. This strategy aims to deliver accurate, consistent, and well-managed data through standardized processes, technologies, and reporting.The individual in this role will be both strategic and hands-on, focused on defining, implementing, and enforcing data quality frameworks across Customer, Non-Merch Vendor, and Finance master data domains. The position requires to collaborate closely with cross-functional teams to assess data quality risks, identify improvement opportunities, and implement sustainable solutions. The position also requires technological skill sets, supporting, recommending, and implementing data solutions—including RPA automation—to enable the integration of technology and business processes in an efficient, streamlined, and automated manner, resulting in high-quality data.Additionally, the Sr. Data Quality Analyst will support and operate within multi-system environments, including legacy platforms and evolving ERP landscapes, ensuring data consistency and process continuity during system transitions.
Essential Duties & Responsibilities
- Develop reporting and metrics to monitor master data health and support daily operations in the current environment
- Design and implement RPA automation solutions to streamline manual processes, improve efficiency, and reduce data-related errors
- Identify opportunities for quick-win process improvements through automation and reporting enhancements
- Collaborate with business teams to understand operational pain points and recommend technology-based solutions using in-house tools
- Document solutions and provide end-user training to ensure adoption and long-term sustainability
- Lead master data quality improvement initiatives as part of the SAP implementation, ensuring accurate and consistent master data across Customer, Non-Merch Vendor, and Finance domains
- Conduct data audits and impact assessments to identify risks posed by poor data quality and recommend corrective actions
Experience, Skills & Knowledge
Power BI
Design, develop, and maintain dashboards and reports for business insights and decision-makingCreate the required data models to support reporting needsIntegrate data from data sources such as SQL databases, APIs, Excel, SharePoint and / or cloud platformsUtilize DAX for advanced calculationsOptimize dashboard performance and manage scheduled data refreshes for consistent reporting reliabilityPythonUse Python libraries to work with and analyze dataLook for patterns and insights in data through explorationWrite scripts to organize, identify and help remediate data issuesAutomate data tasks to save time and reduce manual workPower Apps DevelopmentDesign and develop custom Power Apps applications to support business processes and operational needsIntegrate Power Apps solutions with Power Automate, SharePoint, and other Microsoft 365 services to enable seamless workflowsTroubleshoot and enhance existing Power Apps applications to improve functionality, performance, and user experienceSQL DevelopmentWrite, improve, and manage SQL queries, stored procedures, and viewsBuild and manage data models to organize and store data efficientlyWork on ETL tasks to move and prepare data for reporting and other usesAutomationCreate RPA (Robotic Process Automation) solutions to automate manual tasks and workflowsIdentify manual processes that can be automated to improve efficiencyWork with teams to understand tasks and build RPA solutions that meet business needsMonitor and maintain RPA workflows to ensure they keep running smoothlyCollaboration & DocumentationPartner with business stakeholders to gather, analyze, and document requirementsMaintain clear and accurate documentation for data models, report structures, and any solutions implemented in Power Automate Desktop, Power BI, and Power AppsProvide training and ongoing support to end users to promote adoption and effective use of developed solutionsSAPExperience with Customer, Non-Merch Vendor, and Finance master data in SAPFamiliarity with SAP MDG for data quality workflows, validation, enrichment, and governance processesExperience using SAP tools or frameworks to monitor and improve data quality (e.g., SAP Information Steward, SAP Data Services, or any other data quality tool set)Understanding of the impact of ERP migration on data quality and master data processesUnderstanding of underlying SAP master data tables