at W.W. Grainger, Inc. in Lake Forest, Illinois, United States
Job Description
Grainger Management LLC is seeking a Senior Data Engineer with the following duties: Enable analytics and reporting by centralizing and integrating high quality, large, complex data sets in a highly performant and scalable cloud analytical platform; Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes; Perform analysis of structured and unstructured datasets to develop metrics, reports and visualizations of trends and patterns; Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements; Partner with development and data management roles to identify and capture data required from internal and external sources; Build required tools for optimal extraction, transformation and loading of data from various data sources; Build frameworks, standards & product features to enable self-service analytics; Partner with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues; Develop financial analyses to support the growth and productivity metrics KPI’s in the business unit through continuous improvement of data extraction and end-user functionality; Understand business problems and opportunities in the context of the requirements, recommends, and implements solutions that enable the organization to achieve its goals; Document procedures and processes appropriately to build a library of solutions that future business units can leverage; Function as a liaison working with stakeholders to elicit, analyze, communicate, and validate requirements for changes to business processes, policies and information systems; Provide leadership and guidance in financial matters and the need to interface at very senior levels of the organization; Use data visualization programs, tools and techniques to generate dashboards, reports and presentations that aid in data storytelling, understanding and interpretation of trends and patterns of business importance; Model complex data structures and systems; Conduct analysis of data from multiple systems; Perform cleansing and standardization of data; Conduct analysis of data sources, data movement, and the development of migration plans; Update, maintain, and facilitate existing training materials. Up to 100% remote work from anywhere in the U.S. allowed.
