Senior Manufacturing Engineer, Test Analytics

Anduril Anduril · Defense · Costa Mesa, CA · Manufacturing : Manufacturing Engineering : Digital Manufacturing

This role focuses on democratizing production and test data within the manufacturing organization, enabling data-driven decision-making through analysis and dashboarding tools. The Senior Manufacturing Engineer will develop analytical tools and empower personnel to uncover data stories, paving the way for future automation. While the company uses AI and computer vision, this specific role is centered on data analysis and engineering in a manufacturing context, not core AI/ML model development.

What you'd actually do

  1. Enable data driven decision making by diving deep into analysis and generating dashboarding tools.
  2. Lead the way in developing industry-leading analytical tools.
  3. Empower manufacturing personnel to uncover data stories on their own while paving the way for future automation.
  4. Process Engineering:
  5. Continuous Improvement:

Skills

Required

  • Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.
  • 8+ years of experience as a Data Analyst, preferably in a manufacturing environment.
  • Proficiency in data analysis tools and programming languages (e.g., Python, R, JMP, SQL).
  • Experience with data visualization tools (e.g., Tableau, Power BI, Grafana).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills, both written and verbal.
  • Ability to work collaboratively in a team environment.
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Nice to have

  • Master’s degree in a related field.
  • 10+ years of experience as a Data Analyst, preferably in a manufacturing environment.
  • Experience with statistical analysis and process improvement methodologies (e.g., Six Sigma, Lean Manufacturing).
  • Familiarity with manufacturing execution systems (MES) and enterprise resource planning (ERP) software.
  • Knowledge of machine learning techniques and their application in manufacturing.
  • Experience with cloud-based data platforms (e.g., AWS, Azure).

What the JD emphasized

  • 8+ years of experience as a Data Analyst
  • Proficiency in data analysis tools and programming languages (e.g., Python, R, JMP, SQL)
  • Experience with data visualization tools (e.g., Tableau, Power BI, Grafana)
  • Must be a U.S. Person