layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Supplier Quality Data Analytics Engineer at Anduril

Use SQL to transform raw ERP and QMS data extractions into structured datasets within a centralized GitHub repository, with a focus on supplier quality metrics (PPM, DPMO, SCAR cycle time, lot acceptance rates)
Use Palantir's Foundry platform to generate dashboards and automated workflows code repositories for supplier quality reporting
Build and maintain supplier scorecards that aggregate quality, delivery, and responsiveness data to support supplier review boards and business decisions
Work with Supplier Quality Engineers and managers to define key performance metrics (e.g., supplier PPM, SCAR closure rate, first pass yield) and implement systems for tracking over time
Develop automated alerting and escalation workflows for non-conformance trends, repeat defects, and at-risk suppliers
Eliminate repetitious processes — such as manual inspection data compilation, SCAR status tracking, and supplier report generation — with programmatic automation
Manage cross-functional projects with clear and concise communication on timelines, partnering with supply chain analytics, production quality, and engineering teams
Assess and incorporate external data sources that could bring valuable insight to supplier quality risk management
Educate supplier quality engineers with training and documentation on analytics tools, and drive user adoption through a continual feedback loop
Embed AI into workflows via Palantir's Foundry platform to help identify patterns in non-conformance data, predict supplier risk, and drive signal from noise
REQUIRED QUALIFICATIONS
Bachelor's degree in Analytics, Data Science, Computer Science, Industrial Engineering, Quality Engineering, or related technical field
2+ years of experience in analytics, data engineering, quality engineering, or operations engineering roles, preferably in complex hardware technology or manufacturing industries
Expertise in SQL with demonstrated ability to write complex queries across multiple data sources
Expertise in 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 such as Python, R, Typescript, or similar, for analysis, data visualization, and automation
Ability to relocate or be local to Costa Mesa, CA
Ability to travel up to 10% of the time

Supplier Quality Data Analytics Engineer

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