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Über
POSITION OBJECTIVE: Reporting directly to Engineering, the objective of this position is to collect, analyze, and interpret key machine and production data to support operational efficiency, identify trends, and drive data-informed decision-making. By transforming raw data into actionable insights, this role plays a critical part in improving production performance, reducing downtime, and supporting continuous improvement initiatives across the organization.
QUALIFICATIONS:
Bachelor's degree in Business Analytics, Information Systems, Statistics or Applied Mathematics Proficiency in data analysis tools such as Excel, SQL, Python, or Power BI 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.
JOB 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 Identify inefficiencies, patterns, and opportunities for process improvement using statistical analysis and root cause investigation Develop dashboards, reports, and visualizations to communicate trends and KPIs to key stakeholders Develop recommendations and support implementation of actions to reduce downtime, scrap and inefficiencies. Present findings and actionable insights to the Plant Manager and other leadership stakeholders. Support operations and engineering teams with data-driven insights to enhance equipment utilization and maintenance planning 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 Assist in the development of standard operating procedures and best practices for data use across production teams Support continuous improvement and lean manufacturing initiatives with data-driven insights. Attend Department meeting(s) as needed Research information from production logs Research product through AS400 Maintain knowledge and understanding of all Standard Operating Procedures and duties within production departments
Sprachkenntnisse
- English
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