TITLE: Sr. Performance Data Analyst
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
