Data Analyst Engineer

Mattson Technology

$80K — $110K *
US-AnywhereRemote in California, US
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Engineering, Computer Science, Data Analytics, or a related field
  • 0-3 years of experience in data analysis or engineering (new graduates encouraged)
  • Proficiency in data analysis tools (Excel, SQL, Python)
  • Experience with data visualization tools (Power BI, Tableau) preferred
  • Strong analytical and problem-solving skills
  • Ability to communicate with both technical and non-technical stakeholders

Responsibilities

  • Collect and analyze equipment and system performance data to identify trends and improvement opportunities
  • Develop and maintain dashboards and data visualization tools
  • Support predictive analysis to enhance system uptime
  • Collaborate with teams to document best known methods and procedures
  • Prepare customer-specific documentation according to standards
  • Manage documentation related to escalations and system changes
  • Ensure data accuracy and integrity across reports and systems

Benefits

  • Opportunities for professional development
  • Engagement in continuous improvement initiatives
  • Involvement in cross-functional collaboration
  • Work in a data-driven environment
  • Dynamic and supportive team culture
Full Job Description
Job Description

Job Title: Data Analyst Engineer

Position Summary:

The Data Analyst Engineer is responsible for supporting data-driven decision-making and documentation processes by collecting, analyzing, and interpreting system and operational data. This role will work closely with engineering, technical support, and customer teams to ensure accurate reporting, process standardization, and continuous improvement, particularly in support of customer requirements.

Key Responsibilities:

  • Collect, analyze, and interpret equipment and system performance data to identify trends, issues, and improvement opportunities


  • Develop and maintain dashboards, reports, and data visualization tools


  • Support predictive analysis to identify potential system failures and improve uptime


  • Collaborate with Technical Support and Engineering teams to document best known methods (BKMs), procedures, and manuals


  • Prepare documentation to align with customer-specific standards and copy-exact requirements


  • Manage and maintain documentation related to escalations, corrective actions, and system changes


  • Track, manage, and follow up on action items and key deliverables


  • Ensure data accuracy, integrity, and consistency across systems and reports


  • Support continuous improvement initiatives through data insights and process optimization


Qualifications:

  • Master's degree in Engineering, Computer Science, Data Analytics, or a related field


  • 0-3 years of experience in data analysis, engineering, or a related technical role (new graduates encouraged to apply)


  • Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)


  • Experience with data visualization tools (e.g., Power BI, Tableau) preferred


  • Strong analytical, problem-solving, and organizational skills


  • Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders


Preferred Skills:

  • Experience in semiconductor or manufacturing environments


  • Familiarity with technical documentation and process standardization


  • Understanding of system performance metrics and predictive analytics

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