Data And Quality Assurance Engineer

Term: 12 months

Location: North Vancouver, BC

The Data and Quality Assurance Engineer is responsible for embedding quality into our existing processes, optimizing the checking and review process, enhancing the tools used in engineering model deliverables, and developing predictive and proactive metrics.

Duties/Accountabilities

• Analyze data to identify trends and patterns in project performance and quality.
• Develop training materials and provide training to team members on quality control processes, data analysis, and presentation techniques.
• Develop and implement quality control plans for projects to ensure compliance with established quality standards and customer requirements.
• Identify and implement process improvements to optimize the checking and review process for engineering model deliverables.
• Collaborate with cross-functional teams to embed quality into existing processes.
• Develop and maintain a centralized data repository for project data.
• Collaborate with teams to develop action plans to address identified quality issues.
• Develop predictive and proactive metrics to identify potential quality issues before they arise.
• Develop and maintain tools to improve the quality of engineering model deliverables.
• Communicate with customers to share data insights and provide recommendations for improvement.
• Use Power BI, Excel, and other data visualization tools to present data insights clearly to different levels of the organization.
• Work closely with cross-functional teams to understand data requirements and develop data collection processes to ensure quality data is available for analysis.
• Use statistical analysis techniques to identify root causes of quality issues and develop recommendations for improvement.

Education and Experience

• 5+ years of experience in project quality control, quality assurance, data analysis, or related field.
• Candidates have P.Eng. or EIT professional designation are preferred.
• Bachelor's degree in engineering, quality assurance, data analysis, or related field

Skills, Knowledge and Required Competencies

• Ability to work independently and as part of a team.
• Knowledge of quality management systems and industry standards, lean six-sigma.
• Knowledge of statistical analysis techniques.
• Proficient in Power BI, Excel, DAX, Pivot tables, power query, and other data visualization tools.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Experience with engineering models, 3D models, shipbuilding, and related tools.
• Ability to communicate data insights clearly to different levels of the organization.