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Quality Data Analyst

Job ID : 36479

Location : Austin, TX

Company Name : Atechstar

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

Industry : Information Technology

Salary : $44000 - $56000  per year

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

Required Skills : Data visualization, Problem solving, Data cleansing..

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

Job Description :


  • 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.


  • 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.
  • Prior experience in creating, managing and maintaining databases and/or data sets.
  • 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:

  • Machine learning.
  • SQL.
  • Data visualization.
  • Problem solving.
  • Data cleansing.
  • Critical thinking.
  • Communication.
  • Microsoft Excel.

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