Extract, process, and cleanse complex design datasets to ensure data integrity and accuracy
Identify, analyze, and interpret patterns and trends in large design reports and datasets using statistical and predictive modeling techniques
Develop and automate data analytics, validation, and reporting tools to streamline processes and increase efficiency
Act as a liaison between foundry tech and customer engineering teams, gathering and translating design requirements into technical specifications for foundry
Monitor data integration performance and quality control plans, suggesting improvements to enhance accuracy and efficiency
Develop interactive and intuitive reports

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related STEM field
1+ years of experience in data analysis with a Bachelor's degree
6+ months of experience in data analysis tools and techniques such as SAS, SAP, SQL, or Python
3+ months in data validation, cleansing, and/or verification methodologies
3+ months using reporting tools to generate dashboards and visualizations
Master's degree in a relevant STEM field (preferred)
Strong mathematical and statistical analysis skills with the ability to interpret complex datasets
Familiarity with automation tools for analytics and reporting
Experience collaborating with cross-functional teams in a fast-paced, technical environment
Exceptional problem-solving skills and adaptability to ambiguous challenges
A passion for discovering insights that drive impactful business outcomes.

DTCO Systems Analysis Engineer

Key skills