Production Data Analyst (Specialist-Manager)
- Analyze production consumption, scrap, downtime, and efficiency data using spreadsheets, dashboards, and ERP system tools.
- Develop, automate, and maintain analytical models to identify trends, inefficiencies, and improvement opportunities across production lines.
- Create and manage advanced spreadsheets and dashboards for real-time production performance reporting.
- Generate periodic reports for management, including KPIs, cost reduction opportunities, labor utilization, and material performance.
- Collaborate with Supervisors and Managers to interpret data findings and recommend corrective or optimization actions.
- Validate, clean, and structure incoming production data to ensure accuracy and reliability for analysis.
- Maintain datasets of line trials, components, and raw materials, ensuring consistency and proper categorization within ERP and analytical tools.
- Support continuous improvement projects through deep-dive analyses and scenario modeling.
- Document analytical methodologies, maintain organized digital files, and ensure traceability of data sources.
- Communicate findings effectively in Korean and Spanish.
- 2-8 years of experience in data analysis, business intelligence, or production analytics roles.
- Fluency in Korean and Spanish (spoken and written) is required.
- Advanced proficiency in MS Office tools (Excel: pivot tables, advanced formulas, Power Query, charts).
- Strong experience with ERP systems and data extraction/reporting tools.
- Experience with analytical or visualization tools (Power BI, Tableau, or similar) is a plus.
- Strong quantitative, problem-solving, and critical-thinking skills.
- Ability to work with large datasets, ensuring accuracy and data integrity.
- High attention to detail with the ability to interpret complex production metrics.
- Strong organizational skills, able to manage multiple analytical tasks simultaneously.
- Ability to work independently and communicate technical findings in a clear, actionable way.
- Bachelor’s degree in Data Analytics, Industrial Engineering, Statistics, Computer Science, or related field preferred; additional certifications in analytics or data science are a strong asset.
The approximate pay range for this position is $65,000 - $95,000. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities.
The benefit package includes:
- Medical, Dental, Vision, Life
- PTO
- Special Paid Leave for employees’ personal events
- Company Paid Holidays
- 401(k) employer match
- Year-End Gift
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