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The Customer Information QA Analyst will be responsible for the auditing, monitoring, and offering suggestions to improve the overall efficiency of the team’s research processes. Supported by Researchers, Customer Information Analysts, Process Engineers, Technology Developers, and Business Leaders, this role will foster a culture of continuous improvement that embraces quality assurance, problem-solving, and waste elimination. By making actionable customer information available, we help Grainger market, sell, and deliver the best products and solutions that meet the needs of our customers.
Responsibilities
Analyze data and processes to uncover the root causes of problems, ensuring long-term solutions and continuous improvement.
Perform process performance audit by sampling and analyzing data created through standardized research.
Understands the US MRO market - what customers exist in which industries, and how attractive they are to Grainger.
Initiate rework processes as necessary and provide feedback to the research team to ensure that data discrepancies are corrected in a timely manner.
Measure and communicate process performance metrics.
Collaborate with stakeholders across Grainger to maximize quality and efficiency of Customer Information research.
Contribute to development and continuous improvement of standard research processes.
Enhance audit processes based upon quality findings to reduce data defects and reduce manual work required to identify errors in the information we create.
Partner with Customer Information Design team to set data standards and enhance the CI governance framework.
Requirements
Bachelor’s Degree required
Intense curiosity about Grainger’s customers and business – the MRO market must be a genuine source of interest for a candidate to thrive in the role
Advanced computer skills with proficiency using the Microsoft Office suite
Data Governance – ability develop and monitor processes to ensure customer information meets our department data standards and helps organization achieve its goals
Critical thinking- ability to work with large amounts of data, identify trends and recommend solutions based on findings
Technical writing- document complex concepts in a way that researchers can understand and apply to their standard process
Strong understanding of business and technical process
