Supplier Quality Engineer
- Work arrangement
- Remote
- Occupation
- Engineering, Science & Manufacturing
- Location
- US
- Compensation
- Not disclosed
- Apply by
- April 14, 2027
About this role
Role Purpose
Integrated Supply Chain organization is seeking adedicated Data Analystto support theSupplier Quality Engineering (SQE)function. This role will focus onsupplier quality digitization, analytics, and visualization, enabling data‑driven decision‑making across SQE leadership and stakeholders.
The Data Analyst will work closely with theSupplier Quality Engineering organization and existing digitization teamsto understand current workflows, automate data pipelines, and deliverinteractive dashboards and ad‑hoc insightsthat improve supplier quality performance, risk visibility, and operational effectiveness.
Key Responsibilities
1. Dashboard & Analytics Development
- Build and maintainvisual dashboardsthat provideclear, actionable insightsinto supplier quality performance, risks, trends, and corrective action effectiveness.
- Translate complex, multi‑source datasets intointuitive, decision‑ready visualizationsfor SQE leadership and stakeholders.
2. Digitization & Workflow Alignment
- Work closely with thecurrent SQE digitization teamto understand existing data flows, reporting workflows, and analytics requirements.
- Align new analytics solutions with established SQE processes, standards, and governance models.
3. Data Pipelines & Automation
- Develop, maintain, and automatedata pipelines and workflowsfor Supplier Quality Engineering usingAlteryx (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.
4. Interactive Visualization & Reporting
- Design, build, and maintaininteractive dashboardsusingTableau, 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.
5. Ad‑hoc Analysis & Executive Support
- Performad‑hoc data analysisto support SQE initiatives, leadership requests, and supplier reviews.
- Present findings, trends, and insights toSQE stakeholders and leadershipin a clear, concise, and business‑focused manner.
- Support governance reviews, operational reviews, and continuous improvement discussions with data‑backed insights.
Required Qualifications & Experience
- Bachelor’s degree inData Science, Statistics, Engineering, or a related field.
- Hands‑on experience with Alteryxor comparable ETL/data preparation tools for workflow automation and analytics enablement.
- Experience withdata visualization toolssuch asTableau and/or Power BI(experience with React‑based dashboards is a plus).
- Strong proficiency in SQLfor 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.
Preferred Experience (Nice to Have)
- Experience supportingSupplier Quality, Manufacturing Quality, or Supply Chainorganizations.
- Familiarity with quality metrics, corrective actions, audits, and supplier performance management.
- Experience inaerospace, industrial, or regulated manufacturing environments.
- Exposure to ERP and quality management systems