Senior Manufacturing Engineer, Test Analytics

<div class="content-intro"><p>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.</p></div><div class="section page-centered" data-qa="job-description"> <div> <h3><strong>ABOUT THE TEAM</strong></h3> <p>Anduril’s Digital Manufacturing team is seeking an Manufacturing Engineer, Test Analytics to join our team. The Digital Manufacturing team plays a pivotal role in optimizing manufacturing operations through the implementation and management of advanced digital solutions. The team ensures that manufacturing processes are efficient, scalable, and integrated with the latest industry standards.</p> <h3>ABOUT THE ROLE</h3> </div> <div>The Senior Manufacturing Engineer will work to democratize production and test data within the Manufacturing organization. We are looking for you to enable data driven decision making by diving deep into analysis and generating dashboarding tools. You will lead the way in developing industry-leading analytical tools, and work to empower manufacturing personnel to uncover data stories on their own while paving the way for future automation.</div> </div> <div class="section page-centered"> <h4>WHAT YOU'LL DO</h4> <ul> <li>Data Analysis and Reporting:</li> <ul> <li>Collect, clean, and analyze manufacturing data to identify trends and anomalies.</li> <li>Develop and maintain dashboards to visualize key performance indicators (KPIs) and other critical metrics.</li> <li>Provide regular reports and insights to stakeholders.</li> </ul> <li>Process Engineering:</li> <ul> <li>Collaborate with product and manufacturing test teams to implement analytical best-practices and drive quality of collected data.</li> <li>Utilize data-driven approaches to recommend and implement process improvements - tools such as GRR, MSA, and RSA.</li> <li>Monitor the impact of implemented changes and refine strategies as needed.</li> </ul> <li>Continuous Improvement:</li> <ul> <li>Stay up-to-date with the latest data analysis and visualization tools and techniques.</li> <li>Launch analytical platforms that facilitate decision-making and support test automation</li> <li>Participate in continuous improvement initiatives and contribute to the development of best practices.</li> </ul> </ul> </div> <div class="section page-centered"> <h4>REQUIRED QUALIFICATIONS</h4> <ul> <li>Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.</li> <li>8+ years of experience as a Data Analyst, preferably in a manufacturing environment.</li> <li>Proficiency in data analysis tools and programming languages (e.g., Python, R, JMP, SQL).</li> <li>Experience with data visualization tools (e.g., Tableau, Power BI, Grafana).</li> <li>Strong problem-solving skills and attention to detail.</li> <li>Excellent communication skills, both written and verbal.</li> <li>Ability to work collaboratively in a team environment.</li> <li>Must be a U.S. Person due to required access to U.S. export controlled information or facilities</li> </ul> </div> <div class="section page-centered"> <h4>PREFERRED QUALIFICATIONS</h4> <ul> <li>Master’s degree in a related field.</li> <li>10+ years of experience as a Data Analyst, preferably in a manufacturing environment.</li> <li>Experience with statistical analysis and process improvement methodologies (e.g., Six Sigma, Lean Manufacturing). ... (truncated, view full listing at source)