Manufacturing Data Analyst for FPY & Process Insights

Sanmina Corporation; Carrollton (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

Sanmina Corporation is hiring for a data analytics-focused role in the manufacturing analytics team. You will extract data from SMT lines, AOI, AXI and test fixtures, develop automated reporting via Python, and collaborate with Engineering and NPI to improve product manufacturability.

The position emphasizes FPY, Cp/Cpk analyses, and data-driven drift detection during prototyping and production phases. Strong SQL and Python scripting skills are essential.

Qualifications

• 2+ years in a manufacturing environment (Electronics preferred).
• Advanced knowledge of Python (Pandas, NumPy, OpenPyXL) to parse raw data from flat files (CSV, XML, JSON, TXT).
• Experience writing SQL queries to extract data from MES or local SQL Express instances.

Responsibilities

• Identify and extract data from SMT lines, AOI, AXI, and functional test fixtures.
• Work with equipment vendors to unlock data access or develop custom reporting exports.
• Parse and clean data from flat files (CSV, XML, JSON) and MES databases.
• Develop and maintain reports for FPY, Parametric Test Trends, and Process Capability (Cpk).
• Visualize data distributions to identify drift during prototyping and manufacturing phases.
• Design and implement Python scripts or BI tools to replace manual Excel workflows.
• Standardize reporting formats across product lines.
• Present findings to Engineering and NPI teams to drive design changes for manufacturability.

Skills

Python

Pandas

NumPy

OpenPyXL

SQL

Education

Engineering degree

Data Science degree

Tools

SQL Express

Job description

Sanmina Corporation is hiring for a data analytics-focused role in the manufacturing analytics team. You will extract data from SMT lines, AOI, AXI and test fixtures, develop automated reporting via Python, and collaborate with Engineering and NPI to improve product manufacturability.

The position emphasizes FPY, Cp/Cpk analyses, and data-driven drift detection during prototyping and production phases. Strong SQL and Python scripting skills are essential.