Quality ISO Auditor

At a Glance

Legrand has an exciting opportunity for a Quality ISO Auditor to join the Data, Power and Control team in Reno, NV.

We are seeking a detail-oriented and analytical ISO Auditor to join our team. A successful candidate will

have a strong background in ISO management systems (ISO9001, ISO14001 & ISO45001), data analysis, statistical methods, and data visualization techniques.

The ISO Auditor will administer all aspects of the ISO management systems including initiating and coordinating

corrective actions, performing preventative action and continuous improvement activities to maintain Legrand’s

certifications. This position requires a high degree of concentration and ability to manage multiple priorities. This

position will also establish and sustain the metrics and tools related to the auditing program.

This position, as with all members of the Legrand team, is expected to promote a positive work environment,

demonstrate initiative, professionalism, personal awareness, integrity, and maintain confidentiality.

Main Job Duties:

Environmental, Health & Safety:

• Maintain compliance of Legrand’s Environmental, Health & Safety manual to meet ISO45001 & ISO 14001 requirements - assures that EH&S system requirements are implemented and maintained.
• Maintain the internal auditing program for ISO45001 & ISO14001 to include planning, conducting, review and supporting audit training activities (both internal and external).
• Coordinate the management review process - assist operations management, schedule meetings, prepare presentations of data for the management review team, and maintain records per retention requirements.
• Assist in the implementation, and administration of other EH&S and company activities including risk management, configuration control, training, corrective actions, continuous improvement, and preventative actions.

Quality Assurance:

• Maintain compliance of the Legrand’s quality manual to meet ISO9001 requirements - assures that quality system requirements are implemented and maintained. Maintain the internal auditing program for ISO9001 to include planning, conducting, review and training of audits (both internal and external).
• Coordinate the management review process - assist Product Quality Engineers, schedule meetings, prepare the presentation of data to the management review team, and maintain records per retention requirements.
• Assist in the implementation, and administration of other QA and company activities including risk management, configuration control, training, auditing, corrective actions, continuous improvement, and preventative actions.
• Execute the Quality Assurance strategy to ensure product flow consistent with established industry standards, government regulations and various customer requirements.
• Collect and analyze quality data, identify areas for improvement areas, recommend solutions and coordinate / facilitate corrective action to control costs and achieve established quality objectives for external failures, scrap, problem orders and related performance measures.
• Perform root cause analysis and provide solutions to address quality concerns while supporting long-term improvements
• Research and analyze data and generate quality reporting metrics, charts and supporting documentation.
• Conduct problem-solving and develop solutions for non-compliance conditions of a system or technical nature.
• Work with various data systems to perform quality audit analysis tasks.
• Respond to requests for data and assist in collecting and analyzing data for technical and engineering investigations to support hardware assembly and test operations.
• Lead and participate in team assignments, special projects, and continuous improvement events. Prepare and deliver presentations.
• Create charts and reports for all departments using data collected both internally and from customers.
• Assist in responding to technical questions from suppliers and determine the appropriate action to be taken.
• Analyze, audit, and report quality performance and trends for product and processes.
• Provide input for quality requirements to Design and Manufacturing Engineering.
• Manage supplier performance through monthly and quarterly scorecards, supplier corrective actions and weekly meetings.

Data Collection and Management:

• Gather, clean, and organize large datasets from multiple sources.
• Maintain data integrity and ensure accuracy in data collection and reporting.

Data Analysis:

• Analyze data using statistical techniques and interpret trends, patterns, and anomalies.
• Develop and apply algorithms and predictive models to identify actionable insights.

Reporting and Visualization:

• Create comprehensive reports and dashboards to present data findings to stakeholders.
• Use visualization tools (e.g., Tableau, Power BI) to make data accessible and understandable.

Support Decision-Making:

• Provide recommendations based on data analysis to support business strategies and operational decisions.
• Collaborate with teams to identify data needs and develop solutions.
• Display original thinking and creativity; Meet challenges with resourcefulness; Generate suggestions for improving work; Develop innovative approaches and ideas.
• Exercise sound judgment, communicate decision rationale when appropriate, involve relevant stakeholders, and make timely decisions.
• Perform other duties as assigned.

Education:

• Bachelor's degree and or relevant experience in Business, Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field; or an equivalent combination of education and relevant experience.

Experience:

• A minimum of 3 years of experience as an auditor, quality analyst or similar role; or an equivalent combination of education and relevant experience.
• Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R).
• Experience with SAP & Agile.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
• Attention to detail and a strong commitment to data accuracy and quality.
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of machine learning techniques and algorithms.
• Familiarity with data warehousing concepts and ETL processes.