onsite
Manufacturing Data Analyst - Corning
Data Analyst
Data analyst focused on manufacturing operations, leveraging Python, SQL, and Tableau to extract insights, optimize processes, and drive continuous improvement across production lines.
About the role
Key Responsibilities
- Collect, clean, and analyze large datasets from manufacturing equipment and production logs to identify trends and root causes of performance issues.
- Develop and maintain interactive dashboards in Tableau that provide real‑time visibility into key metrics such as yield, cycle time, and defect rates.
- Write complex SQL queries and Python scripts to automate data extraction, transformation, and reporting workflows.
- Collaborate with production engineers and quality teams to design experiments, perform statistical analyses, and validate process improvements.
- Present findings and actionable recommendations to cross‑functional stakeholders, translating technical insights into business impact.
Requirements
- Bachelor’s degree in Engineering, Statistics, Computer Science, or related field.
- 3+ years of experience in data analysis within a manufacturing or industrial environment.
- Proficiency in Python (pandas, NumPy) and SQL for data manipulation and analysis.
- Strong experience building dashboards and visualizations in Tableau or similar tools.
- Solid understanding of statistical methods and quality improvement principles (Six Sigma, Lean).