Senior Data Quality Analyst, Master Data

Company Description
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.

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-making
• Create the required data models to support reporting needs
• Integrate data from data sources such as SQL databases, APIs, Excel, SharePoint and/or cloud platforms
• Utilize DAX for advanced calculations
• Optimize dashboard performance and manage scheduled data refreshes for consistent reporting reliability Python
• Use Python libraries to work with and analyze data
• Look for patterns and insights in data through exploration
• Write scripts to organize, identify and help remediate data issues
• Automate data tasks to save time and reduce manual work Power Apps Development
• Design and develop custom Power Apps applications to support business processes and operational needs
• Integrate Power Apps solutions with Power Automate, SharePoint, and other Microsoft 365 services to enable seamless workflows
• Troubleshoot and enhance existing Power Apps applications to improve functionality, performance, and user experience SQL Development
• Write, improve, and manage SQL queries, stored procedures, and views
• Build and manage data models to organize and store data efficiently
• Work on ETL tasks to move and prepare data for reporting and other uses Automation
• Create RPA (Robotic Process Automation) solutions to automate manual tasks and workflows
• Identify manual processes that can be automated to improve efficiency
• Work with teams to understand tasks and build RPA solutions that meet business needs
• Monitor and maintain RPA workflows to ensure they keep running smoothly Collaboration & Documentation
• Partner with business stakeholders to gather, analyze, and document requirements
• Maintain clear and accurate documentation for data models, report structures, and any solutions implemented in Power Automate Desktop, Power BI, and Power Apps
• Provide training and ongoing support to end users to promote adoption and effective use of developed solutions SAP
• Experience with Customer, Non-Merch Vendor, and Finance master data in SAP
• Familiarity with SAP MDG for data quality workflows, validation, enrichment, and governance processes
• Experience 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 processes
• Understanding of underlying SAP master data tables