Data Analyst - Reliability

General Dynamics Electric Boat
North Kingstown, RI, United States
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Analysis Computerized Maintenance Management Systems Failure Mode Effects Analysis Power BI

Job description

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

Requirements

  • 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

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