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Manufacturing Data Analytics EngineerRaytheon • United States
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Manufacturing Data Analytics Engineer

Raytheon
  • US
    United States
  • US
    United States
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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. 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 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. Qualifications We Prefer: 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. 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: 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! Not eligible for relocation The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. 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.
  • United States

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  • English
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