Senior Manufacturing Test Analytics Engineer

Compal USA Technology Inc; Hutto (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Compal USA Technology Inc. in Hutto, TX, is seeking a Senior Manufacturing Test Data Analyst to own the development and maintenance of manufacturing test databases, data integration solutions, and analytics that convert test data into actionable insights.

You will build automated pipelines, standardize KPIs, and develop Power BI dashboards to monitor FPY, retest rate, cycle time, and capacity utilization, collaborating with Test Engineering, Test Operations, and IT.

Qualifications

• 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.

Responsibilities

• 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.
• Develop KPI analytics, dashboards, and automated reports for operations and leadership.

Skills

Analytical thinking

Root-cause analysis

Communication

KPI governance

Data analytics

Statistical analysis

Education

Bachelor's degree in Computer Science, Data Analytics, Engineering, Statistics, or related field

Tools

SQL Server

Microsoft Fabric

Snowflake

Databricks

MES

Job description

Compal USA Technology Inc. in Hutto, TX, is seeking a Senior Manufacturing Test Data Analyst to own the development and maintenance of manufacturing test databases, data integration solutions, and analytics that convert test data into actionable insights.

You will build automated pipelines, standardize KPIs, and develop Power BI dashboards to monitor FPY, retest rate, cycle time, and capacity utilization, collaborating with Test Engineering, Test Operations, and IT.