Student Worker - Production Data Analyst

Student Worker - Production Data Analyst College Station, TX Job Details Full-time 4 days ago Qualifications Performance dashboard reports Dashboard development Power BI Data visualization software proficiency Variance analysis Automation ERP systems Data reporting Mid-level Improving operational efficiency SQL Project monitoring Data quality monitoring Performance Improvement (PI) Data collection Data validation Manufacturing Root cause analysis Cross-functional collaboration Data-driven decision making Communication skills Cross-functional communication Time management Excel data analysis Database software proficiency Full Job Description Position Summary US Modules is seeking a Manufacturing Data Analyst to support high-volume solar module manufacturing operations at its College Station, TX facility. This role is responsible for collecting, validating, and analyzing production and quality data to drive operational performance improvements. The Manufacturing Data Analyst develops KPI dashboards, reporting tools, and actionable insights using ERP/MES systems and works closely with Production, Quality, Engineering, and Maintenance teams to support stable, efficient, and data-driven manufacturing performance aligned with best practices used by tier-1 global solar manufacturers. Key Responsibilities Production Reporting & KPI Management Collect and consolidate production and quality data from ERP/MES systems, equipment logs, and manual reporting sources. Build, maintain, and improve dashboards and standardized KPI reports, including: output vs plan, OEE and uptime/downtime trends, yield, scrap and rework performance, FPY (First Pass Yield), and cycle time, takt time and throughput performance. Provide daily, weekly, and monthly performance reporting to production leadership and cross-functional stakeholders. Ensure KPI definitions and reporting methods are standardized and consistent across shifts. Data Analysis & Operational Insights Identify trends, process losses, and performance gaps impacting throughput, yield, and quality. Support investigation and root cause analysis for scrap events, defect trends, and yield losses using data-driven tools (Pareto analysis, trend mapping, loss trees, etc.). Perform variance analysis to identify drivers of production shortfalls and efficiency loss. Provide actionable recommendations based on data insights to support operational decision-making. Quality & Process Improvement Support Support cross-functional improvement initiatives to reduce scrap, improve yield, and stabilize production processes. Work with Quality and Process Engineering teams to correlate quality test data (EL/IV, defect classifications, rework events) with process conditions. Assist in measuring and monitoring improvement project results to ensure sustained gains. Track improvement action items and performance metrics through standardized reporting. Systems, Data Integrity & Automation Audit and validate production data accuracy to ensure reporting is reliable and actionable. Improve reporting efficiency by automating routine reports and dashboards where possible (Excel tools, Power BI, SQL queries, etc.). Maintain documentation for dashboards, KPI calculations, reporting processes, and data definitions. Support enhancements to MES/ERP reporting methods and data capture processes to improve traceability and decision support. Learning Objectives / Development Goals Students in this role will have the opportunity to: Gain practical experience in HR operations and administrative processes Develop professional communication, documentation, and organizational skills Learn and apply workplace confidentiality, compliance, and ethics standards Integrate academic knowledge into real-world business applications Strengthen transferable skills such as time management, teamwork, and problem-solving Explore career pathways in HR, business administration, and operations Work Schedule /

Duration Hours:

10-20 hours per week, flexible around academic schedules

Duration:

Appointment is per semester, with potential for semester-to-semester continuation

Long-term Opportunity:

Potential to continue through graduation and consideration for full-time employment