Analytics Engineer, Sentry

Anduril Industries

Quick summary

Work type
On-site
Location
Irvine, CA
Salary
$146,000–$194,000 / yr
Posted
today

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $172k
This role $170k
$120k most similar roles pay here $219k

This role pays more than 53% of similar roles. Most pay $134,750–$209,562 — the shaded band above. At the midpoint, this role pays about $170k versus about $172k for comparable roles.

Based on 240 similar postings.

Employer

About Anduril Industries

Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.

Anduril Industries currently has 1882 open roles on FindRole.

Listed pay typically runs $146,000–$194,000 across 1696 roles with salary data.

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View all roles at Anduril Industries

At a glance

TL;DR · Analytics Engineer, Sentry

As an Analytics Engineer on the Sentry team, you will play a crucial role in transforming raw data into strategic insights by designing and implementing robust data systems. Your day-to-day responsibilities include building data pipelines to ingest and transform diverse datasets, developing dashboards for decision-making, and collaborating with cross-functional teams to address their data challenges. You will also drive operational efficiency through quantitative analysis and enhance fleet management by leveraging data to optimize deployment strategies. This hands-on role requires expertise in SQL and Python, a strong analytical mindset, and the ability to communicate effectively across technical and non-technical contexts. Experience with tools like Palantir Foundry or Tableau is preferred, as well as familiarity with business systems such as ERP and MRP.

What you'll do

  • Design and maintain data pipelines to ingest, transform, and model data from various sources.
  • Develop dashboards and analytics tools to provide visibility into deployment tracking and fleet performance.
  • Own the full lifecycle of analytics products, including defining requirements and iterating based on feedback.
  • Perform quantitative analyses to identify bottlenecks and optimize operational processes for efficiency.
  • Enhance fleet management by using data to understand and improve sustainment operations for growing fleets.
  • Document data definitions and methodologies to ensure clarity and promote self-service capabilities across teams.

What we're looking for

  • 5+ years of professional experience in analytics-focused roles.
  • Degree in quantitative or analytical field, such as Statistics, Engineering, Data Science, Math, Operations Research, Computer Science.
  • Proficient in SQL and Python for data manipulation and analysis.
  • Ability to design and implement end-to-end technical solutions independently.
  • Strong communication skills to translate business problems into data solutions effectively.
  • Experience working cross-functionally with engineering, product, supply chain, and operations teams.
  • Bias for action and ability to thrive in complex, rapidly evolving operational environments.

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