This role pays more than
65%
of similar roles. Most pay
$145,412–$197,287
— the shaded band above.
At the midpoint, this role pays about
$170k
versus about
$171k
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.
As a Senior Supply Chain Engineer, Analytics at Anduril Industries, you will join the Supply Chain Analytics team to develop and maintain SQL data pipelines for supply chain reporting using Palantir’s Foundry platform. Your daily tasks include transforming raw ERP data into structured datasets, creating dashboards and automated workflows with Python/Typescript, defining key performance metrics, and automating repetitive processes. You will collaborate closely with various supply chain teams to implement systems that enhance visibility and efficiency, driving real business impacts through innovative solutions. Essential skills include expertise in SQL, data visualization platforms like Palantir Foundry, proficiency in Microsoft Excel, and strong programming abilities in Python or similar languages. Experience in complex hardware technology industries and familiarity with ERP/MRP systems are highly valued.
Transform raw ERP data into structured datasets using SQL.
Generate dashboards and automated workflows with Palantir’s Foundry platform.
Define key performance metrics for supply chain teams and implement tracking systems.
Automate repetitive processes in Python to enhance efficiency.
Integrate external data sources and software to provide valuable insights.
What we're looking for
Bachelor’s degree in Analytics, Data Science, Computer Science, Industrial Engineering or related technical field.
6+ years experience in analytics, operations engineering, data engineering, or software engineering roles, preferably in complex hardware technology industries.
Expertise in SQL and data visualization platforms such as Tableau, Looker, Power BI, Streamlit, Dash, or Palantir Foundry.
Strong proficiency in Microsoft Excel including advanced formulas, live database connections, and VBA.
Proficient in at least one additional programming language for analysis, data visualization, and automation (Python, R, Typescript).
Ability to relocate or be local to Costa Mesa, CA.