General Dynamics Electric Boat

Data Analyst - Reliability

Requisition ID
2026-20612
Location
US-RI-North Kingstown
Seat Location
EB Quonset Point Facility
Trade
Maintenance
Shift
1st
Security Clearance Required
Approved Background Check

Overview

The Reliability Team develops and implements objective, data-driven processes to increase equipment availability and reliability to world class standards. The Reliability Program Data Analyst plays a key role in execution of the Reliability Program objectives, supporting operational continuity and excellence in a number of ways.

 

In this role you will:

  • Help identify program-specific metrics
  • Identify data gaps and establish data-collection processes to close those gaps
  • Analyze data using descriptive, predictive, prescriptive, and causal analyses techniques to identify impending failures and make impactful recommendations on elimination or mitigation
  • Leverage PowerBI to develop and execute reporting processes for metrics
  • Prepare visual aids as needed to support communication of trends and opportunities
  • Investigate reliability problems relative to cost limitations for equipment availability repair/replacement costs, availability of materials and equipment, and develops plans that comply with customer demands to avoid equipment failures
  • Monitor the equipment to prevent failures that could impede business operations and potentially lead to downtime or a loss of throughput
  • Provide guidance on maintenance, repair, replacement, fabrication, installation, alteration, construction, and design of facility components requiring the application
  • Work collaboratively with Facility Engineering for accurate and timely repair/maintenance dispositions

Other responsibilities include providing guidance on maintenance issues as needed, collaborating both internal to D962 and with other departments to support Facilities- and Maintenance-related efforts, and other tasks as needed.

 

 

Position Responsibility:

  • Gathers and examines reliability data from equipment (either manually or via automated methods) or other data sources and correlates data for analysis
    • Descriptive statistical analysis
    • Predictive statistical analysis
    • Prescriptive statistical analysis
    • Causal analysis (e.g. Root-cause and Root-Cause Failure Analysis)
    • Failure Reporting, Analysis and Corrective Action System (FRACAS)
    • Failure mode and effects analysis (FMEA)
    • Other analysis tools used as needed (Weibull, reliability block diagrams, etc)
  • Assist with project planning and implementation
  • Work closely with budgets and finance to reduce maintenance and operating costs
  • Supports execution of the facility predictable and reliable maintenance plan
  • Provides input to a Risk Management Plan that will anticipate reliability-related, and non-reliability-related risks that could adversely impact plant operation
  • Increase equipment longevity and reduce downtime
  • Identify and mitigate risks associated with single points of failure (SPOF)
  • Assists in transforming Preventative Maintenance practices into Predictive/Condition Based Maintenance.
  • Works under the supervision of the Reliability Program Lead

This position is located at Quonset Point at the North Kingstown, RI location.

Qualifications

Required:

  • High School Diploma or Equivalent
  • Minimum 4 years of maintenance-related data analysis
  • Minimum 3 years of experiene managing PowerBI queries and reporting dashboards
  • Must be able to work all shifts 

Preferred:

  • Formal training in maintenance-related data analysis
  • Working history with computerized maintenance management systems or enterprise asset management systems
  • Experience with root cause analysis techniques
  • Lean/Six Sigma Black Belt certification
  • Military experience

Skills

  • Exceptional organizational skills
  • Strong leadership, communication, and interpersonal skills
  • Applicant will be required to work in a collaborative and team environment and meet organizational goals
  • Exceptional customer service skills
  • Strong teamwork and problem solving skills
  • Familiarity with Six Sigma and project management methodologies
  • Analytical skills

Physical Qualifications

Climbing, Kneeling, Light Lifting, Medium Lifting, Pulling, Pushing, Reaching, Stooping, Twisting

Environmental Attributes

Cold, Dry, Dusty, Fumes, Hot, Inside, Noise, Oily, Outside, Wet

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