Data Analyst, Quality

Digitailor; Atlanta (GA); On-site; USD 127,000 - 170,000; Full time

Benefits offered by this job

Travel up to 25%

Equity grants

Comprehensive benefits

Job summary

Anduril Industries is seeking an analytics engineer for our Atlanta site to own and evolve data pipelines, dashboards, and quality metrics. You will work on production data from ERP, MES, QMS, and inventory, building actionable analytics and AI-assisted tools to support operations on the floor.

You will design and maintain dashboards, troubleshoot data quality issues, and partner with engineers and program leads to translate requirements into data products.

Qualifications

• Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field.
• 2+ years in a Data Analyst, Data Engineer, Analytics Engineer, or similar role.
• Experience with Foundry, Databricks, or an equivalent cloud lakehouse.
• Strong SQL on large, multi-source datasets with performance tuning.
• Applied experience using AI tools with ability to review AI-generated artifacts critically.
• Demonstrated ability to troubleshoot data issues and trace numbers back through the stack.
• Eligible to obtain and maintain a U.S. Government security clearance (ITAR).

Responsibilities

• Operate at the intersection of hardware manufacturing and data analytics, building analytics tools for workflows and dashboards.
• Pull data from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Foundry and Databricks.
• Design, build, and maintain production dashboards, pipelines, and quality metrics for the site.
• Translate operator feedback into a prioritized backlog and drive rollouts to HQ.
• Perform deep-dive analyses in SQL/Python to identify root causes and fix issues at the source.
• Contribute to data-quality checks, validation rules, and automated monitoring in pipelines.
• Build AI-assisted analytics tools to reduce repetitive analyst work and accelerate data exploration.
• Support data projects end-to-end from requirements to deployment and drive adoption among users.
• Utilize AI to draft pipelines, write tests, generate dashboards, and accelerate repetitive tasks.

Skills

SQL

Foundry

Databricks

AI tools

Data pipelines

Troubleshooting

Communication

Education

Bachelor's degree in CS / Engineering

Tools

Foundry

Databricks

Python

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

About The Team

Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes. We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site analytics lead role at our Atlanta facility. You are the resident analytics engineer and the person accountable for what Quality Intelligence has deployed here. Atlanta already has production dashboards and pipelines running; you will own them, keep them accurate, and improve them as programs evolve. Beyond maintaining what exists, you will build new analytics products as the site takes on new programs and requirements from the floor. Most of this role is hands-long build; the rest is running the site as a program: gathering requirements from operators and engineers, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap. This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance.

What You’Ll Do

Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor understanding quality workflows, building analytics tools for those workflows, and implementing them in well-designed, actionable dashboards. Production Data: You’ll pull from production systems (ERP, MES, QMS, inventory), 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. Build and Maintain Site Analytics: You will help design, build, and maintain the production dashboards, pipelines, and quality metrics the site runs on. Support intake and priorities for the site: Participate in a standing feedback loop with operators, manufacturing engineers, and program quality. Help turn what you hear into a prioritized, visible backlog and file crisp, evidence-backed asks back to HQ so the platform gets better. Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you dig in. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source. Contribute to technical improvements: You will help implement data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you helped make it 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 rollouts. Drive Adoption: A dashboard nobody opens is ineffective. You will help train operators, run office hours, track usage, and treat adoption as a deliverable, not a downstream side effect. AI Use: You will be expected to use AI in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job. REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field. 2+ years in a Data Analyst, Data Engineer, Analytics Engineer, or similar role. Experience with Foundry, Databricks, or an equivalent cloud lakehouse. You have built or maintained pipelines and dashboards other teams depend on. Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning. Applied experience using AI tools (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don’t. Demonstrated ability to troubleshoot data issues. When a number looks wrong, you can trace it back through the stack and explain 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.

Travel

up to 25% to Anduril sites and vendors.

Preferred Qualifications

Experience in a hardware manufacturing environment (NPI, ramp, high-volume) or comfort working in and around manufacturing operations, including time on the production floor. Familiarity with manufacturing data systems: ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems. Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent). Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design. Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar). Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code. Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration. US Salary Range $127,000 — $170,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits .