Senior Supplier Quality Engineer – Data Analytics Focus

SoTalent is a global technology-driven organization that focuses on innovation and collaboration across various industries. The Senior Supplier Quality Engineer will play a crucial role in enhancing supply chain performance by analyzing complex supplier data to improve product quality and reduce defects.

Responsibilities:

• Build and maintain data workflows using ETL tools (such as Alteryx or similar platforms)
• Develop interactive dashboards and visualisations using tools like Tableau, Power BI, or web-based frameworks
• Define and track key quality performance indicators (KPIs)
• Analyse large datasets to identify trends, risks, and improvement opportunities
• Deliver reports and presentations to stakeholders, including senior leadership
• Provide ad-hoc analysis to support business needs
• Work closely with engineering, quality, and operations teams to understand requirements
• Translate business challenges into data-driven solutions
• Support continuous improvement initiatives through analytical insights
• Coach and guide team members on using data effectively in their roles
• Deliver training sessions to improve overall data literacy
• Enhance data collection and reporting frameworks to support predictive analytics
• Document methodologies, tools, and best practices
• Contribute to building a scalable, data-driven quality management approach
• Lead or support supplier performance improvement initiatives
• Monitor supplier quality trends and identify corrective actions
• Conduct or support supplier assessments and audits
• Drive root cause analysis and ensure sustainable corrective actions
• Provide technical guidance to suppliers to meet quality expectations
• Collaborate across teams to resolve quality-related challenges

Requirements:

• Practical experience with ETL or data preparation tools (e.g., Alteryx or equivalent)
• Strong capability in data visualisation (Tableau, Power BI, or similar)
• Proficiency in SQL for querying and managing data
• Excellent analytical thinking and problem-solving skills
• Strong communication skills, with the ability to engage stakeholders at multiple levels
• Degree in Data Science, Engineering, Statistics, or a related discipline
• 3–5 years of experience in analytics, ideally within manufacturing or aerospace environments
• Familiarity with quality management systems and risk analysis approaches
• Experience working with cross-functional teams in complex organisations
• Project management knowledge or certification (e.g., PMP)
• Ability to influence without direct authority and lead change initiatives