Job Family Description
As an Electrical FMA Data Engineer at Nokia in Allentown, PA, you will work in a collaborative, fast-paced environment where innovation is at the forefront. You will be part of a dynamic cross-functional team, engaging with manufacturing, development, field service, reliability, and software engineers to tackle complex optical line card failures. Your expertise will lead to impactful design improvements and enhanced product reliability. We prioritize employee development through mentoring and offer opportunities for process improvement initiatives. In addition to competitive compensation, we provide relocation support and sponsorship, along with benefits such as health insurance, retirement plans, and professional growth opportunities to ensure a fulfilling work-life balance. Join us to make a tangible impact on the networking solutions industry.

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As an Electrical FMA Data Engineer at Nokia in Allentown, PA, you will work in a collaborative, fast-paced environment where innovation is at the forefront. You will be part of a dynamic cross-functional team, engaging with manufacturing, development, field service, reliability, and software engineers to tackle complex optical line card failures.

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Must-Have:

· BS in Engineering, Computer Science, Math, Physics, or equivalent technical degree

· Experience in SQL server

· Strong analytical and critical thinking skills

· Statistical analysis experience

· Excellent oral and written communication skills

Nice-To-Have:

· Experience in an Opto/Optical environment

· Electrical Circuits, C#, Python

· Proficiency in database queries and statistical analysis

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Your responsibilities

· Query large data sets from SQL database.

· Aptitude to work with a large body of data, perform statistical analysis, and comfortable presenting data and proposals to technical audiences.

· Interact with hardware design, test, controls, reliability, and manufacturing to define failure root causes and failure trends.

· Drive improvements in product quality during pilot ramp and identify opportunities to increase product volumes and reduce costs during production.