Data Analyst - Reliability

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