The Worldwide Grocery Private Brands team is looking for an entrepreneurial, experienced, and analytical Data Quality Systems Analyst. You will join a dynamic, fast-paced, fun and collaborative work environment where you will help build and scale our business within both physical stores and online channels. This role ensures that Product Quality team is using meaningful data metrics to drive business decisions, build and optimize quality tools and dashboards (partnering with tech teams as needed), and manages our data quality system to ensure we have a robust, centralized, automated (where possible) mechanisms to organize, maintain, and control for change management for training, tools, documents, processes, and more. You will be expected to support the development and optimization of tools and mechanisms for the quality program, support building proposals on why proposed solutions are the best option for the team or business, and manage the roll-out and coordination of the program. You will work within the Product Quality team and across different stakeholders including Product Development, Product Management, Food Safety, Shared Services (process & tech teams), Marketing, Package Engineering, and Supply Chain to ensure the program ensures a robust end-to-end Data Quality Systems Program. This position will not only focus on ensuring the effectiveness of our Data Quality Systems Program but also support analysis of large data sets, building mechanisms and tools to continuously improve our data analysis and defect identification of customer feedback across multiple feedback mechanisms. The role will use and/or optimize quality dashboards that monitor launched product performance across WW Grocery products, manage trend analysis, monitor and correct defects in our Catalog, and manage escalation mechanisms with our Product Quality teams as applicable. The position will require resourcefulness and creativity to learn new tools and systems to identify opportunities to drive automation and simplification of data management. The right person for this role must be customer obsessed and enjoy using data and mechanisms to drive improvements that maintain customer trust with our brands and products. The successful candidate will be self-motivated, enjoys working with data and identifying trends from large data sets, able to develop sound recommendations for product/process improvements, able to earn trust and influence teams, solution oriented, have solid problem solving skills, strong attention to detail, strong vision for quality standards and programs, strong interpersonal skills and ability to communicate clearly (verbal and written) with technical and non-technical teams alike, and be motivated by a fast-paced dynamic environment.
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Job Type
Full-time
Career Level
Mid Level