Data Science Analyst

Product Line Data Analyst

Join the Optics Operations team, supporting manufacturing and test operations for optical products by building and sustaining the data infrastructure needed for visibility, control, and continuous improvement. We work across Test Engineering, Manufacturing, and Quality to ensure operational data is accurate, accessible, and actionable. This role will support projects involving manufacturing-line data systems, test data extraction, and analysis workflows tied to optical test operations.

Your Impact

As a product line data analyst, you will:

• Perform data hygiene and reconciliation activities, including identification and resolution of missing, duplicate, malformed, or inconsistent records.
• Analyze test and manufacturing data to identify trends, anomalies, yield issues, and process deviations.
• Monitor manufacturing-line data systems for data quality, completeness, consistency, and usability.
• Create recurring and ad hoc reports to support engineering investigations, operational monitoring, and management decision-making.
• Develop, maintain, and optimize SQL queries, views, stored procedures, and reporting datasets to support manufacturing and test operations.
• Support ETL-style data extraction and transformation workflows from manufacturing databases. Maintain and improve Python-based extraction and processing code used for recurring data pulls, normalization, validation, and analysis support.

Minimum Qualifications:

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, or a related technical field.
• 3+ years of experience in a data analyst, or manufacturing data support role.
• Proficient in SQL, including joins, aggregations, filtering, subqueries, common table expressions, and performance-conscious query design.
• Experience with data hygiene, validation, reconciliation, and quality checks in operational datasets.
• Working proficiency in Python for maintaining and improving extraction, cleansing, and transformation scripts.

Preferred Qualifications:

• Experience supporting manufacturing, test, operations, or quality data environments.
• Experience working with data generated by automated test systems, production systems, or factory equipment.
• Familiarity with SPC, Cp/Cpk, yield analysis, or related manufacturing/process-control concepts.
• Experience with Python libraries such as pandas for data manipulation and analysis.
• Experience preparing data for dashboards or business intelligence tools such as Power BI or Tableau.