Manufacturing Data Analytics Engineer

Date Posted:

2026-04-14

Country:

United States of America

Location:

US-IA-CEDAR RAPIDS-105 ~ 400 Collins Rd NE ~ BLDG 105

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

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.

We are seeking an experienced Manufacturing Data Analytics Engineer to lead data-driven improvements across our production operations. In this role, you will serve as a technical expert in developing analytics solutions, transforming manufacturing data into actionable insights, and enabling data-informed decisions across operations and engineering teams.

You will partner closely with cross-functional teams to define analytical needs, architect data pipelines and dashboards, and deliver models that improve throughput, cycle time, resource utilization, and overall factory performance.

What You Will Do:

• Lead the design, development, and deployment of advanced analytics solutions for manufacturing operations.

• Analyze large, complex production datasets to identify trends, inefficiencies, and improvement opportunities.

• Develop predictive and diagnostic models focused on manufacturing flow, equipment performance, and operational efficiency.

• Collaborate with manufacturing engineering and operations to translate business challenges into analytical requirements and solutions.

• Build dashboards, automation, and self-service tools to support real-time decision-making.

• Create and maintain data pipelines, data validation checks, and documentation.

• Provide technical mentorship to junior engineers and promote analytics best practices.

• Support strategic initiatives such as digital transformation, factory automation, and process optimization.

Qualifications You Must Have:

• Bachelor’s degree in Engineering, Data Science, Computer Science, or related STEM field.

• Minimum 8 years of relevant experience (or an advanced degree with 5+ years).

• Strong proficiency with data analysis tools such as Python, SQL, R, MATLAB, or similar.

• Experience with data visualization platforms (Power BI, Tableau, Spotfire, etc.).

• Solid understanding of manufacturing processes and factory performance metrics.

• Experience developing predictive or statistical models.

• Demonstrated ability to lead analytics projects from concept through deployment.

Qualifications We Prefer:

• Experience with cloud data environments (Azure, AWS) or data engineering frameworks.

• Background in electronics, aerospace, or complex manufacturing environments.

• Familiarity with Lean, SPC for manufacturing operations, or process optimization methodologies (non-quality-driven).

• Experience with MES, ERP, or factory automation systems.

• Strong communication skills and ability to influence technical and non-technical stakeholders.

What You Can Expect:
This role offers the opportunity to shape how analytics influence and transform our manufacturing operations. You’ll work with modern tools and drive initiatives that directly impact productivity, efficiency, and operational effectiveness across the organization.

What We Offer:

Some of our competitive benefits package includes:   

• 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 

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