Production Data Analyst
The Judge Group Inc.

Job Info

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Location: Youngstown, OH
Description: Our client, a global packaging manufacturer, is currently seeking a Production Data Analyst for their expanding data analytics team. As a Data Analyst focusing on Continuous Improvement in manufacturing settings, you will be an essential part of our team, working hands-on to drive operational excellence through statistical analysis and process improvements. This role requires a proactive and detail-oriented individual eager to immerse themselves in the manufacturing environment, collaborating with cross-functional teams to identify opportunities for enhancement.

This job will have the following responsibilities:

Data Collection and Validation

• Collect, clean, and validate manufacturing data (e.g., OEE, scrap, etc.) from various sources, ensuring accuracy and reliability.
• Collaborate with frontline staff to ensure data integrity and gather insights from the shop floor.

Statistical Analysis

• Apply statistical methods (e.g., Regression, ANOVA, DOE, etc.) to analyze manufacturing data, including production metrics, quality control data, and equipment performance
• Generate actionable insights to support decision-making and continuous improvement initiatives.

Continuous Improvement Initiatives

• Participate in continuous improvement projects, employing statistical tools and methodologies to identify areas for optimization.
• Collaborate with manufacturing teams to implement data-driven solutions and monitor their impact.

Hands-On Engagement

• Spend time on the manufacturing floor to gain a practical understanding of processes, challenges, and opportunities for improvement.
• Work closely with production teams, demonstrating a willingness to get involved and understand the intricacies of manufacturing operations.

Reporting and Documentation

• Develop clear and concise reports and visualizations to communicate key performance indicators and improvement progress.
• Document methodologies, findings, and recommendations for future reference and knowledge sharing.

Qualifications & Requirements:

• Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Industrial Engineering, Supply Chain, Business Analytics, etc.)
• Familiarity with data analysis tools such as R, SQL, Python, advanced Excel skills.
• Familiarity with data visualization tool such as Power BI or Tableau.
• Strong foundation in statistical analysis and a keen interest in applying statistical methods to real-world manufacturing challenges.
• Excellent communication skills and ability to work collaboratively with diverse teams.
• Eagerness to learn and contribute to a dynamic manufacturing environment.
• Knowledge of ETL process.
• This role can be remotely based, however travel to corporate offices and manufacturing sites to learn business processes and systems is required.

Personal Attributes:

• Proactive and hands-on approach with a willingness to learn by doing.
• Detail-oriented, analytical thinker with problem-solving skills.
• Ability to adapt to a fast-paced and dynamic manufacturing setting.
• Enthusiastic about contributing to the improvement of manufacturing processes.
• This role presents an exciting opportunity for a junior data analyst with a statistical background to make a meaningful impact on our manufacturing operations while gaining valuable hands-on experience in continuous improvement initiatives.
• The successful candidate will play a vital role in shaping the efficiency and effectiveness of our manufacturing processes through statistical analysis and data-driven insights.

**This role can be based within commuting distance to manufacturing sites or remotely based with travel to those sites. This is a full-time, direct-hire position, and not eligible for contract, visa sponsorship, or visa transfer - candidates must be eligible for hire without employer provisions. Thank you.

Contact: jdantzler@judge.com

This job and many more are available through The Judge Group. Find us on the web at www.judge.com

This job has expired.