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Quality Data Analyst

Job ID : 35376

Location : New York, NY

Company Name : Matal

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $107200 - $108700  per year

No. of Positions : I have ongoing need to fill this role

Required Skills : Technical, Compliance, Statistics..

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :


  • 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.


  • Bachelor's Degree in mathematics, statistics or equivalent degree is required.
  • At least 4 years of work experience in data analytics and analysis.
  • Expert knowledge of various software tools, including Microsoft Office Tools, Tableau, SAP, Salesforce, Smartsheet, etc.
  • 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.
  • Highly organized with strong attention to detail and deadlines.

Key Skills:

  • Technical.
  • Compliance.
  • Statistics.
  • Collaboration, SQL.
  • Business Intelligence and Data Analytics.

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