Manufacturing Data Analyst (Data Tech)

Sanmina-SCI Systems de México; Carrollton (TX); On-site; USD 70,000 - 90,000; Full time

Job summary

A leading electronics manufacturer in Carrollton is seeking a Manufacturing Data Analyst to act as the data architect for its facility. This role involves identifying and extracting data from diverse equipment, developing performance metrics, and automating reporting processes using Python. The ideal candidate has experience in a manufacturing environment with a strong background in data engineering and statistical analysis. Join us to transform fragmented data into actionable insights for high-volume production.

Qualifications

• 2+ years of experience in a manufacturing environment, preferably electronics.
• Advanced knowledge of Python for data parsing.
• Experience with SQL queries for data extraction.

Responsibilities

• Identify and extract data from manufacturing equipment.
• Develop reports for performance metrics and statistical analysis.
• Automate reporting processes using Python and BI tools.

Skills

Data Acquisition

Statistical Analysis

Python programming

SQL querying

Education

Degree in Engineering, Data Science, or related field

Tools

Pandas

NumPy

OpenPyXL

Job description

Manufacturing Data Analyst (Data Tech)

Role Summary

We are seeking a Manufacturing Data Analyst to be the "data architect" for our electronics manufacturing facility. This role sits at the critical intersection of the Prototyping to Production pipeline. You will be responsible for hunting down data from diverse manufacturing equipment, parsing disparate file types, and building the automated reporting infrastructure that defines our success.

The ideal candidate is part data detective and part automation enthusiast—someone who isn't afraid to manually build a report today while writing the Python script to automate it tomorrow.

Key Responsibilities

• Data Acquisition:
  • 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 "messy" data from flat files (CSV, XML, JSON) and MES databases.
• Performance Metrics & Statistical Analysis:
  • Develop and maintain reports for First Pass Yield (FPY), Parametric Test Trends, and Process Capability (Cpk).
  • Visualize data distributions to help engineers identify "drift" during the prototyping and manufacturing phases.
• Reporting Automation:
  • Design and implement Python scripts or BI tools to replace manual Excel-based workflows.
  • Standardize reporting formats across different product lines.
• Cross-Functional Collaboration: Present findings to Engineering and NPI (New Product Introduction) teams to drive design changes that improve manufacturability.

Technical Requirements & Qualifications

Data Engineering & Automation

• Scripting: Advanced knowledge of Python (Pandas, NumPy, OpenPyXL) to parse raw data from flat files (CSV, XML, JSON, TXT).
• Databases: Experience writing SQL queries to extract data from MES or local SQL Express instances.
• Architecture: Proven ability to transition manual "copy-paste" processes into automated pipelines.

Manufacturing & Hardware Context

• Integration: Experience navigating proprietary machine software to locate and export data logs (SMT, AOI, Functional Test).
• NPI Cycle: Familiarity with the urgency and data-fluidity of the New Product Introduction phase.
• Vendor Liaison: Ability to communicate technical data requirements to equipment manufacturers.

Statistical Analysis

• SPC Knowledge: Solid grasp of Mean, Standard Deviation, and Variance.
• Calculations: Expert ability to interpret FPY, RTY, Cp, and Cpk.
• Parametric Analysis: Ability to analyze continuous data (voltages, timing, resistance) to identify trends before they result in failures.

Education/Experience: 2+ years in a manufacturing environment (Electronics preferred) with a degree in Engineering, Data Science, or a related technical field.

Sanmina is an Equal Opportunity Employer

Why This Role Matters

During the Prototyping Phase, data is often fragmented and chaotic. You will be the person who organizes that chaos into a roadmap for high-volume production. Your reports won't just be "look-back" summaries; they will be the tools we use to fix the product and process before release to manufacturing.