Senior Data Analyst; Onsite

Overview

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world‑class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

The Senior Data Analyst – Manufacturing Operations will focus on analyzing data from a manufacturing environment that combines automation and manual assembly practices. The role involves utilizing data to improve production efficiency, ensure quality, and optimize manufacturing processes. The ideal candidate will have experience with industrial data systems and a understanding of manufacturing workflows, including automation and manual assembly techniques.

• Collect, clean, and analyze data from a variety of sources, including manufacturing execution systems (MES), automated machinery, and manual operations data logs.
• Develop and maintain dashboards and reports to monitor key manufacturing performance indicators (KPIs) such as cycle time, throughput, downtime, and overall equipment effectiveness (OEE).
• Identify trends and bottlenecks in production workflows, and recommend actionable solutions to improve efficiency and reduce waste.
• Collaborate with cross‑functional teams, including production, engineering, quality, and supply chain, to address data‑driven challenges and opportunities.
• Work with automation systems to extract and analyze machine performance data, ensuring optimal utilization of automated equipment.
• Support predictive maintenance efforts by analyzing equipment data to forecast potential failures and minimize unplanned downtime.
• Document data analysis processes, methodologies, and results to ensure transparency and repeatability.
• Stay current with industry trends in manufacturing analytics, automation, and Industry 4.0 technologies.

• Typically requires a University Degree and minimum 2 years of prior relevant experience or an Advanced Degree in a related field.
• Experience working in a manufacturing or industrial environment, particularly with automated and manual assembly operations.
• Familiarity with data visualization tools like Tableau, Power BI, or similar platforms.

• Experience with analytical tools such as SQL, Python, R, or MATLAB.
• Experience with automation systems, programmable logic controllers (PLCs), and robotics.
• Knowledge of manufacturing systems such as MES, enterprise resource planning (ERP) systems, and supervisory control and data acquisition (SCADA) systems.
• Familiarity with Lean Manufacturing and Six Sigma principles.
• Strong analytical and problem‑solving skills with a focus on process optimization.
• Ability to communicate insights and recommendations effectively to both technical and non‑technical stakeholders.
• Knowledge of Industry 4.0 technologies, including IoT, AI, and machine learning for manufacturing applications.
• Hands‑on experience with manufacturing‑specific data sources, such as sensor data, production logs, and quality control metrics.
• Understanding of aerospace and defense manufacturing processes (if applicable to the organization).

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option
• Tuition reimbursement program
• Student Loan Repayment Program
• Life insurance and disability coverage
• Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal,  protection
• Birth, adoption,…