Engineering Data Analyst

AMS Corporation

Knoxville (TN)

On-site

USD 85,000 - 120,000

Full time

4 days ago
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Job summary

AMS Corporation, a Knoxville, Tennessee-based nuclear engineering services company, is seeking an Engineering Data Analyst to support the analysis of instrumentation data from operating nuclear power plants as part of the Online Monitoring program.

The role involves applying the OLM methodology, using proprietary software, and contributing to engineering reports that aid maintenance and licensing decisions.

Qualifications

  • Strong analytical ability with curiosity and attention to detail.
  • Commitment to quality and rigorous reporting.
  • Willingness to learn AMS OLM methodology and tools.

Responsibilities

  • Analyze sensor measurement data from operating nuclear power plants to evaluate performance of pressure, level, and flow instrumentation.
  • Apply AMS’s OLM methodology to plant startup, steady-state, and shutdown data.
  • Use proprietary AMS software tools to organize, process, analyze, and review plant instrumentation data.
  • Identify trends, anomalies, data gaps, unusual instrument behavior, and potential instrumentation issues that require further technical evaluation.
  • Prepare draft OLM mid-cycle and end-of-cycle reports documenting analysis results, conclusions, and recommended actions.
  • Support the preparation of technical information for OLM amenability evaluations, limits reports, drift analyses, noise analyses, and related licensing documentation.
  • Review transmitter definitions, plant data, supporting documentation, and analysis inputs for completeness, consistency, and technical accuracy.
  • Participate in on-site data collection activities.

Skills

Analytical ability
Attention to detail
Curiosity
Quality mindset

Job description

Company Description

AMS Corporation is a nuclear engineering services company based in Knoxville, Tennessee, with a mission to ensure the safe operation of the worldwide nuclear fleet. Founded in 1977 as a spinoff of Oak Ridge National Laboratory and the University of Tennessee, AMS has nearly 50 years of experience developing innovative testing technologies and engineering solutions that help nuclear facilities maintain safe, reliable, and compliant instrumentation and control (I&C) systems.

What We Do

AMS supports nuclear facilities worldwide with specialized expertise in I&C system testing, equipment qualification, wireless and online monitoring, cable aging diagnostics, calibration verification, and advanced data analysis. Our engineers work across nuclear power plants, research reactors, naval propulsion programs, and national security installations to ensure systems perform safely, reliably, and in full compliance with regulatory requirements.

What It’s Like to Work Here

At AMS, you’ll join a collaborative team of experts across nuclear, electrical, mechanical, computer, and materials engineering. We invest heavily in research and development, encourage creativity in problem-solving, and provide hands-on opportunities to contribute from day one. Many employees build long careers here because they’re able to learn continuously, take on diverse technical challenges, and work in an environment guided by teamwork, respect, and shared purpose.

Job Description

AMS is seeking an Engineering Data Analystto support the analysis of instrumentation data collected from operating nuclear power plants as part of AMS’s Online Monitoring (OLM) program.

OLM is a condition-based maintenance technology used to evaluate the performance, reliability, and long-term health of critical plant instrumentation. Rather than relying solely on periodic manual calibrations, OLM uses sensor measurement data and engineering analysis to determine whether instruments are performing within established limits and whether calibration or maintenance may be needed.

This is an applied engineering and data analysis role for someone who wants to work with real nuclear plant data, proprietary engineering software, instrumentation systems, and technically rigorous reporting. The Engineering Data Analyst will analyze plant operating data, support engineering evaluations, participate in field data acquisition activities, and contribute to reports used by nuclear utilities to make maintenance and calibration decisions by directly contributing to plant safety, reliability, and cost reductions.

Successful Engineering Data Analyst combine strong analytical ability with curiosity, sound judgment, attention to detail, and a commitment to quality. Training will be provided in AMS’s OLM methodology, proprietary analysis software, nuclear plant instrumentation, nuclear safety culture, nuclear plant work management and licensing strategies, quality assurance processes, and technical reporting requirements.

The goal of this position is to develop an engineer who can grow into a trusted technical contributor capable of independently performing OLM analysis, supporting field testing, preparing high-quality engineering reports, and helping advance and grow AMS’s condition-based maintenance technologies throughout the industry.

What You’ll Do
  • Analyze sensor measurement data from operating nuclear power plants to evaluate the performance and condition of pressure, level, and flow instrumentation.
  • Apply AMS’s OLM methodology to plant startup, steady-state, and shutdown data.
  • Use proprietary AMS software tools to organize, process, analyze, and review plant instrumentation data.
  • Identify trends, anomalies, data gaps, unusual instrument behavior, and potential instrumentation issues that require further technical evaluation.
  • Prepare draft OLM mid-cycle and end-of-cycle reports documenting analysis results, conclusions, and recommended actions.
  • Support the preparation of technical information for OLM amenability evaluations, limits reports, drift analyses, noise analyses, and related licensing documentation.
  • Review transmitter definitions, plant data, supporting documentation, and analysis inputs for completeness, consistency, and technical accuracy.
  • Participate in on-site data
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