The organization is looking to improve production performance, reduce downtime, and support continuous improvement initiatives by analyzing key machine and production data.
Requirements
- Proficiency in data analysis tools such as Excel, SQL, Python, or Power BI
Responsibilities
- Collect real-time and historical data from production machinery, sensors, and manufacturing systems
- Analyze machine performance metrics, including uptime, downtime, cycle time, throughput, and yield
- Develop dashboards, reports, and visualizations to communicate trends and KPIs to key stakeholders
- Collaborate with IT and automation teams to ensure proper data capture, system integration, and data quality
- Track and report on the impact of improvement initiatives, including cost savings, efficiency gains, or quality improvements
- Research information from production logs
- Research product through AS400
Other
- Bachelor’s degree in Business Analytics, Information Systems, Statistics or Applied Mathematics
- Good organizational skills and high level of accuracy
- Ability to prioritize tasks and manage multiple projects simultaneously
- Excellent written and verbal communication skills with the ability to translate technical findings into clear business insights
- Ability to complete multiple tasks and demands
- Ensure consistent, dependable attendance and demonstrate a willingness to accommodate non-standard work hours as necessary
- Capable of effectively managing job-related stress and fostering productive workplace interactions
