Production Data Analyst

Job Summary

The Specialist I, Production Data Analyst, supports the production team by analyzing, interpreting, and managing production data to improve operational efficiency. This role plays a key role in monitoring performance, identifying trends, and providing actionable insights to support continuous improvement within the manufacturing processes.

Key Responsibilities

• Collect, organize, and analyze production data from various manufacturing processes, ensuring data integrity and accuracy.
• Monitor key performance indicators (KPIs) to track production efficiency, yield rates, downtime, and other critical metrics.
• Develop and maintain reports, dashboards, and data visualizations to communicate insights to management and production teams.
• Identify trends, anomalies, and potential areas for improvement in production performance.
• Collaborate with production, quality control, and engineering teams to identify and resolve data-related issues.
• Support the implementation of data-driven solutions to enhance production workflows and achieve efficiency goals.
• Conduct root cause analysis for production-related issues and assist in recommending corrective actions.
• Perform ad-hoc data analysis and reporting requests as needed by leadership.
• Ensure that all production data is accurately documented and maintained in compliance with company standards and industry regulations.

Qualifications

• Bachelor’s degree in Engineering, Business, Data Science, Statistics, or related field.
• 1-3 years of experience in data analysis, preferably within a manufacturing or production environment.
• Strong proficiency with data analysis tools and software (e.g., Microsoft Excel, SQL, Tableau, Power BI).
• Experience with production data systems, ERP systems, or manufacturing software is an asset.
• Excellent analytical, problem-solving, and troubleshooting skills.
• Strong communication skills, with the ability to present complex data in a clear and actionable manner.
• Able to work independently and collaborate effectively in cross-functional teams.
• Detail-oriented with a strong commitment to data accuracy and integrity.
• Familiarity with Lean Manufacturing or Six Sigma methodologies is an asset.

Working Conditions

• Full-time position.
• Occasional travel may be required based on project needs.
• Flexible working hours and potential for remote work depending on the company policy.