Quality Data Analyst

Responsibilities:

• Utilize various data streams to establish failure rate trending related to YETI's warranty issues and pre-shipment inspection results
• Use data mining to extract information from data sets, identify correlations and patterns, ultimately driving to root cause(s) and actionable information
• Establish and maintain a database of inspection results, analyze the data, and prepare regular summary reports for quality leadership team related to YETI's quality KPI's
• Establish and maintain data visualization and problem solving tools (A3, 5 Whys, etc) to establish and monitor continuous quality improvement activities
• Provide input to Quality, Manufacturing and Engineering teams for new product development and product improvement programs
• Review and improve data and analytics processes, methods and tools to increase efficiency and accuracy
• Organize and transform information into comprehensible formats across multiple functions in the business
• Identify and recommend new data gathering, management and analytic business processes
• Communicate with stakeholders to understand data needs, content and business requirements
• Evaluate and recommend new software for driving systems associated with data analytics and reporting
• Liaise with YETI Customer Experience Group and 3rd party warehouse(s) to drive accurate and timely recording and collection of data

Qualifications:

• Bachelor's Degree in mathematics, statistics or equivalent degree is required.
• Expert knowledge of various software tools, including Microsoft Office Tools, Tableau, SAP, Salesforce, Smartsheet, etc.
• Prior experience in creating, managing and maintaining databases and/or data sets.
• Hands on experience utilizing standard problem solving tools and representations, A3 format preferred.
• Strong ability to translate data and communicate results, findings, trends and issues to the cross-functional teams.
• Past experience managing data related to key performance indicators related to quality.
• Skilled analyst with excellent math and logic skills, as well as recognizing patters and trends within large data sets.

Key Skills:

• Proficiency in programming languages, including Structured Query Language.
• SQL, JavaScript.
• In-depth knowledge of statistical methods and tests.
• Experience with statistical packages, such as MS Excel, SAS, and SPSS. Exceptional analytical skills.