Data Analyst(mouhamedzz)

Anduril Industries is a defense technology company developing advanced systems for U.S. and allied military capabilities. The Data Analyst will serve as the resident analytics engineer at the Arsenal-1 manufacturing site, building and maintaining production dashboards, data pipelines, and quality metrics. The role also involves investigating data quality, collaborating with manufacturing stakeholders, supporting data projects, and driving adoption of analytics tools on the production floor.

What you'll do:

• You will work at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor learning quality workflows, building analytics tools, and turning what you observe into well-designed, actionable dashboards
• You'll pull from production systems (ERP, MES, QMS, inventory), help build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on
• You will help design, build, and maintain the production dashboards, pipelines, and quality metrics the site runs on. Arsenal-1 is greenfield, so you will collaborate closely with HQ to port over proven work and adapt it to site-specific needs
• Support intake and requirements: participate in feedback loops with operators, manufacturing engineers, and program quality. Help translate what you hear into backlog items -- what can be configured this week, what needs HQ build time, and what we are deliberately not doing
• Investigate data quality: When a dashboard is inaccurate or a number looks wrong, dig in. Run deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and work with the team to fix it at the source
• Contribute to technical improvements: Help implement data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because it is provably trustworthy
• Build AI-assisted analytics tools: small apps and workflows in Foundry / Databricks that reduce repetitive analyst work, grounded in what you have learned from operators on the floor
• Support data projects end-to-end: partner with cross-functional teams from requirements through deployment. Help translate program quality leads' problems into data products and support rollout efforts
• Drive adoption: a dashboard nobody opens is ineffective. You will help train operators, run office hours, track usage, and treat adoption at Arsenal-1 as a deliverable, not a downstream side effect
• AI Use: You will be expected to use AI aggressively in your own work -- to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job
• Collaboration: Collaborate with cross-functional teams, which requires regular interaction with production and manufacturing stakeholders and frequently working directly on the production floor

What they're looking for:

• Bachelor's degree in Computer Science, Data Science, Industrial Engineering, Mechanical Engineering, or a related technical field from an accredited program
• Demonstrated interest or coursework in data engineering, analytics, or applied data science -- through internships, co-ops, capstone projects, or personal projects
• Curiosity about how manufacturing works: the workflows, the quality gates, and how data drives or degrades quality outcomes
• Proficiency in SQL: comfortable writing queries across multiple tables, using joins, aggregations, and window functions
• Familiarity with at least one programming language for data work (Python preferred)
• Comfort using AI tools (Cursor, Claude Code, Copilot, ChatGPT) and an ability to review AI-generated output critically. You have a sense of where these tools help and where they fall short
• Strong problem-solving instincts: when a number looks wrong, your first impulse is to figure out why
• Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR)
• You communicate plainly: to a director without jargon, to an engineer without losing precision
• U.S. citizenship is required pursuant to contractual obligations
• Recent graduates (0-2 years of experience) are encouraged to apply
• Internship or co-op experience in a manufacturing, industrial, or hardware engineering environment

Benefits:

• Highly competitive equity grants are included in the majority of full time offers and are considered part of Anduril's total compensation package.
• A comprehensive, competitive benefits package available at little to no cost to employees, supporting health and recovery.