The Lead Material Control and Accountability (MC&A) Data Analyst is responsible for the statistical program in the MC&A function at Global Nuclear Fuel – Americas (GNF-A), a commercial nuclear fuel manufacturing facility. In this role you will develop, review, troubleshoot, and upgrade statistical programs based on relevant Nuclear Regulatory Commission (NRC) regulations and guidance. In addition, you will be the technical interface with the NRC on MC&A measurement systems and associated statistical analysis.
As the Lead Material Control and Accountability Data Analyst you will provide day-to-day leadership and support of the statistical program for MC&A measurement systems at the GNF-A facility in Wilmington, NC. You will interact extensively with the MC&A Program Manager, as well as Nuclear Safety, Process Engineering, Operations, and Maintenance staff to implement the MC&A statistical program. Essential responsibilities include:
This role is restricted to U.S. persons (i.e., U.S. citizens, permanent residents, and other protected individuals under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)) due to access to export-controlled technology. GE will require proof of status prior to employment.
GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
As a federal government contractor, GE may in the future be required to have U.S. employees fully vaccinated against COVID-19. Some GE customers currently have vaccination mandates that may apply to GE employees.
Relocation Assistance Provided: Yes
Unconscious bias training
Remote work policy
Part time policy
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