Manufacturing Data Analytics Lead with Equity

Anduril Industries

Costa Mesa (CA)

On-site

USD 146,000 - 194,000

Full time

22 hours ago
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Benefits offered by this job

Equity grants
Health benefits

Job summary

Anduril Industries in Costa Mesa, CA is seeking a Lead Data Analyst, Manufacturing to guide a small team of data engineers and deliver analytics solutions that inform day-to-day decisions across product lines and new development.

You will partner with manufacturing leadership and cross-functional teams to drive productivity, reduce costs, improve quality, and implement KPIs, kaizen, and lean initiatives in a fast-paced environment.

Qualifications

  • Bachelor’s degree or higher in a related field; Master’s preferred.
  • Experience with data visualization and analytics tools (SQL, Python, Tableau/PowerBI).
  • 8+ years in manufacturing strategy/analysis with measurable impact.

Responsibilities

  • Lead and guide a small team of Data Analysts to develop new solutions and improve existing ones.
  • Engage with manufacturing and cross-functional stakeholders to ensure success.
  • Develop and implement manufacturing analytics to boost productivity, reduce costs, and improve quality.
  • Analyze production metrics, processes, and resource utilization to identify improvements.
  • Collaborate with cross-functional teams to align with business objectives.

Skills

SQL
Python
Typescript
Tableau
PowerBI
PLTR Foundry
MS VBA

Education

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field
Master's degree preferred (MBA or MS Engineering)

Tools

PLTR Foundry
MS VBA

Job description

Anduril Industries in Costa Mesa, CA is seeking a Lead Data Analyst, Manufacturing to guide a small team of data engineers and deliver analytics solutions that inform day-to-day decisions across product lines and new development.

You will partner with manufacturing leadership and cross-functional teams to drive productivity, reduce costs, improve quality, and implement KPIs, kaizen, and lean initiatives in a fast-paced environment.

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