
location_onSan Joaquin County, California, United States
The Manufacturing Test Quality Data team, operating within global supply chain operations, is seeking a Data Analyst to support critical projects ensuring the quality and reliability of manufacturing and test data. This position offers the opportunity to work on high-impact initiatives that strengthen data standards—essential for driving automation, improving root cause analysis, and enabling cross-system insights across worldwide supply chain operations.
In this role, you will analyze manufacturing test data to define and implement standards for new and existing data entities. You will build dashboards to visualize data quality scores across manufacturing partners and develop automated monitoring systems to proactively generate tickets for anomalies. Additionally, you will contribute to AI-driven recommendations for data standards, including anomaly detection and intelligent data mapping, while supporting log analysis and search capabilities.
Please apply with us today by sending your inquiries to hirings@openkyber.com.
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Work model: On-site
San Joaquin County, California, United States
California
Experience with data visualization tools (Looker, Tableau, Power BI, etc.). Exposure to data quality management, data governance, or master data management concepts. Basic understanding of machine learning techniques such as anomaly detection or large language models (LLMs).
Skills: SQL, Python, R, Looker, Tableau, Power Bi, Machine Learning, Anomaly Detection, Large Language Models, LLMS.
Education: Currently pursuing a Bachelor's in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline; Currently pursuing a Master's in Computer Science, Statistics, Mathematics, Engineering, or related quantitative discipline.