Compal USA Technology Inc
Senior, Manufacturing Test Data Analyst
Hutto, Texas, US
Role snapshot
Compal USA Technology Inc is hiring a Senior, Manufacturing Test Data Analyst on a full-time basis. This is a role based in Hutto, Texas, US.
- Company
- Compal USA Technology Inc
- Location
- Hutto, Texas, US
- Job type
- Full-time
- Posted
- Nov 6, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what Compal USA Technology Inc publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Job Description
Job Description
About the job
The Senior Manufacturing Test Data Analyst owns the development and maintenance of manufacturing test databases, data integration solutions, and analytics that convert test data into actionable insights. The role supports Test Engineering and Test Operations by improving visibility into yield, throughput, test cycle time, failure trends, and capacity utilization.
This is a hands-on technical role responsible for database design, test log processing, KPI standardization, reporting automation, and operational dashboards. Site IT / infrastructure engineering provides the underlying servers, networking, and computing infrastructure. The scope of this role includes:
- Manufacturing test analytics for PCBA, server, and rack-level testing, as applicable.
- Ownership of test analytics databases, data models, ETL/ELT workflows, and reporting solutions.
- KPIs: FPY, retest rate, failure rate, TTR, cycle time, throughput, station utilization, and capacity versus demand.
- Collaboration with Test Engineering, Test Operations, Test Development, and Site IT.
Job Responsibilities
Database Development & Data Integration
- Design, develop, optimize, and maintain manufacturing test databases, schemas, queries, and stored procedures.
- Build automated pipelines to extract, parse, transform, and consolidate test logs and MES/test-system data.
- Maintain data quality, traceability, access controls in coordination with IT, and reliable data refresh processes.
- Test KPI Analytics & Reporting
- Define and standardize test KPIs with Test Engineering and Test Operations.
- Develop Power BI dashboards, KPI scorecards, and automated operational and leadership reports.
- Analyze FPY, retest, failure Pareto, TTR, cycle time, throughput, downtime, and station utilization.
Performance Improvement & Capacity
- Identify recurring failure patterns and performance shifts by product, station, test step, hardware configuration, and firmware revision.
- Analyze test bottlenecks, capacity constraints, and utilization trends against production demand.
- Translate findings into prioritized recommendations and track improvement effectiveness.
Requirements
- Advanced SQL and relational database design, development, query tuning, and stored procedures.
- Python for test-log parsing, data processing, ETL automation, and analysis.
- Power BI, Power Query, DAX, dashboard development, and reporting automation.
- Experience integrating manufacturing test data from test equipment, logs, MES, and databases.
- Strong understanding of FPY, yield, retest, failure analysis, cycle time, throughput, TTR, and capacity metrics.
- Data validation, KPI governance, root-cause analysis, and clear communication of findings.
- Server, rack, PCBA, ICT, FCT, BLT, or automated test manufacturing experience.
- JavaScript, HTML/CSS, REST APIs, and custom web dashboards.
- SPC, statistical analysis, forecasting, and Lean / Six Sigma methodologies.
- Experience with SQL Server, Microsoft Fabric, Snowflake, or Databricks.
- 5+ years in manufacturing test analytics, data analytics, BI, or database/data engineering in a manufacturing environment.
- Demonstrated hands-on delivery of production databases, automated data integration, and test KPI dashboards.
- Bachelor’s degree in Computer Science, Data Analytics, Engineering, Statistics, or related quantitative field; equivalent relevant experience considered.