Manufacturing Data Analytics Engineer

RTX•Cedar Rapids, IA

1d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.

Benefits

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, ID theft protection
Birth, adoption, parental leave benefits
Ovia Health, fertility, and family planning
Adoption Assistance
Autism Benefit
Employee Assistance Plan, including up to 10 free counseling sessions
Healthy You Incentives, wellness rewards program
Doctor on Demand, virtual doctor visits
Bright Horizons, child and elder care services
Teladoc Medical Experts, second opinion program
And more!