Data Engineer (I)

A Manufacturing Test Quality Data team within global supply chain operations is seeking a Data Analyst to support projects that ensure the quality and reliability of manufacturing and test data. This position offers the chance to work on high-impact initiatives that strengthen data standards-critical for driving automation, improving root cause analysis, and enabling cross-system insights across worldwide supply chain operations., * Data Standards & Quality: Analyze manufacturing test data to define, develop, implement, and measure standards for new and existing data entities. Apply industry-standard quality dimensions and perform statistical analysis of test data.

• Dashboarding & Monitoring: Build dashboards to visualize data quality scores across manufacturing partners. Develop automated monitoring systems that proactively generate tickets for anomalies and issues.
• AI for Data Standards: Contribute to AI-driven recommendations for data standards, including anomaly detection, rule generation, and intelligent data mapping.
• Log Analysis: Support log analysis, create summaries, and enhance log search capabilities.

• Currently pursuing a Bachelor's or Master's in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• Strong analytical and problem-solving skills with an interest in data quality and data-driven decision-making.
• Proficiency in SQL for querying and manipulation.
• Experience with at least one scripting language (e.g., Python, R) for data analysis.
• Excellent written and verbal communication skills.

Nice to Haves

• 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).