Data Analyst

TTM TechnologiesChippewa Falls, WI

About The Position

TTM Technologies is seeking a Data Analyst with an understanding of Quality Production Engineering. This role will design, develop, and maintain dashboards and reports that provide actionable insights for forecasting and managing demand across our product lines.

Requirements

  • Bachelor’s degree in Programming, Production Engineering or Industrial Engineering with 2-5 years of experience, or Bachelor’s degree in Engineering, or an equivalent combination of 5+ years’ practical experience and coursework is preferred.
  • Superb analytical, problem-solving, and critical thinking skills.
  • Proficiency with Microsoft Office is preferred
  • Demonstrated proficiency with a programming language such as Python, Matlab or Visual Basic is preferred.
  • Experience or familiarity with CAD is preferred
  • Familiarity with standardized work combination tables, Takt time, cycle time, etc.
  • Fundamental concepts in data science and analytics
  • Understanding of SQL and relational databases
  • Experience in SQL Join and conditional flow statements is preferred
  • RStudio for programming experience is preferred

Responsibilities

  • Diagnose problems in the production line and provide recommendations and training.
  • Assess and analyze current production methods
  • Develop and write program improvements for production and other areas to improve efficiency
  • Develop and draft an improved production process
  • Design and implement cost-reductive changes
  • Maximize productivity of machinery and workers
  • Lead Capacity studies for assigned processes
  • Collaborate with the production engineering staff in preparing & maintaining capacity models and plans
  • Determine the correct data sets and variables
  • Collect large sets of structured and unstructured data from disparate sources
  • Clean and validate the data to ensure accuracy, completeness, and uniformity
  • Devise and apply models and algorithms to mine the stores of big data
  • Analyzing the data to identify patterns and trends
  • Interpret the data to discover solutions and opportunities
  • Communicate findings to stakeholders using visualization and other means
  • Identify the data-analytics problems that offer the greatest opportunities to the organization

Benefits

  • medical
  • dental
  • vision
  • 401K
  • Flexible Spending Account
  • Health Savings Account
  • accident benefits
  • life insurance
  • disability benefits
  • paid vacation & holidays
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