Manufacturing Data Analytics Engineer

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.

• 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.

• Bachelor’s degree in Engineering, Data Science, Computer Science, or a related STEM field.
• At least 8 years of relevant experience, or an advanced degree with at least 5 years of relevant experience.
• Proficiency in data analysis tools, including Python, SQL, R, MATLAB, or comparable technologies.
• Experience using data visualization platforms such as Power BI, Tableau, or Spotfire.
• Knowledge of manufacturing processes and factory performance metrics.
• Experience developing predictive or statistical models.
• Experience leading analytics projects from concept through deployment.

• Experience with cloud data environments such as Azure or AWS, or with data engineering frameworks.
• Experience in electronics, aerospace, or complex manufacturing environments.
• Familiarity with Lean methodologies, statistical process control (SPC), or process optimization methods.
• Experience with MES, ERP, or factory automation systems.
• Ability to communicate with and influence both technical and non‑technical stakeholders.

• 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: pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal,  protection
• Human resources related benefits: birth, adoption, parental leave;
  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

• Location:
  
  US‑IA‑CEDAR RAPIDS – 105~400 Collins RdNE~BLDG
  105
• Position Type:
  Onsite
• Security Clearance:
  None/Not Required
• Salary Range: 107,500 USD – 204,500 USD

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section
503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.