Supplier Quality Engineer

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🕒 March 20

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SAPSOL Technologies Inc. : Systems and Process Solutions for your Enterprise

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

Enterprise • SaaS • Artificial Intelligence

SAPSOL Technologies Inc. is a leader in innovative business transformation, expertly integrating ERP systems, AI, cloud computing, and DevOps to deliver cutting-edge solutions for businesses of all sizes. Specializing in S/4HANA implementation, system migration, and managed support services, SAPSOL ensures seamless integration and optimization of business processes. The company offers advanced business intelligence tools for actionable insights, enabling smarter decision-making and performance enhancement across key operational areas. SAPSOL excels in rapid go-to-market strategies, managing complex global rollouts with precision. Their expertise in process optimization, automation, change management, emerging technology, cloud, AI, and analytics transforms supply chains, financial reporting, and customer service to enhance efficiency and reduce costs. SAPSOL also provides a range of services including security, cloud, and big data analytics, supporting enterprises in staying agile and competitive. The SAPSOL Product Innovation Lab (SPIL) drives advancements like HireRig, an AI-driven recruitment platform. Based in North America, SAPSOL collaborates with startups and invests in disruptive ideas, leveraging partnerships with SAP, Oracle, IBM, and Microsoft technologies to shape the future of business transformation.

📋 Description

• Build and maintain visual dashboards that provide clear, actionable insights into supplier quality performance, risks, trends, and corrective action effectiveness. • Translate complex, multi-source datasets into intuitive, decision-ready visualizations for SQE leadership and stakeholders. • Work closely with the current SQE digitization team to understand existing data flows, reporting workflows, and analytics requirements. • Align new analytics solutions with established SQE processes, standards, and governance models. • Develop, maintain, and automate data pipelines and workflows for Supplier Quality Engineering using Alteryx (or equivalent ETL tools). • Ensure data accuracy, repeatability, scalability, and timely refresh of SQE analytics. • Document data flows, transformations, and KPI definitions to support standardization and continuity. • Design, build, and maintain interactive dashboards using Tableau, Power BI, React-based dashboards, or equivalent tools. • Create analytics that support supplier quality decision-making, including performance monitoring, risk identification, and continuous improvement initiatives. • Optimize dashboards for usability, performance, and stakeholder adoption. • Perform ad-hoc data analysis to support SQE initiatives, leadership requests, and supplier reviews. • Present findings, trends, and insights to SQE stakeholders and leadership in a clear, concise, and business-focused manner. • Support governance reviews, operational reviews, and continuous improvement discussions with data-backed insights.

🎯 Requirements

• Bachelor’s degree in Data Science, Statistics, Engineering, or a related field. • Hands-on experience with Alteryx or comparable ETL/data preparation tools for workflow automation and analytics enablement. • Experience with data visualization tools such as Tableau and/or Power BI (experience with React-based dashboards is a plus). • Strong proficiency in SQL for data extraction, transformation, and analysis. • Experience working with large, complex datasets from multiple systems. • Strong problem-solving, communication, and stakeholder management skills, with the ability to translate data into meaningful business insights.