Site Industrial Data Engineer

Key Responsibilities

• Analyze manufacturing processes to improve safety, efficiency, throughput, and operational stability
• Process, validate, clean, and structure manufacturing data to support accurate reporting and analysis
• Build and maintain dashboards, reports, and analytics tools for line performance, TRS / OEE, NQC, downtime, reliability, throughput, and operational losses
• Translate manufacturing data into clear insights, trends, and recommended actions for site teams and leadership
• Serve as a local data steward by supporting data quality, standard definitions, validation rules, and stakeholder alignment
• Partner with Operations, Technical, MSE, CI, and IE teams to identify data gaps, reporting needs, and improvement opportunities
• Support line performance improvement through data analysis, floor validation, and cross-functional problem solving
• Develop and maintain labor models, capacity planning tools, staffing analysis, and operational performance reporting
• Support continuous improvement activities related to waste reduction, bottleneck analysis, layout, material flow, and standard work
• Provide functional support to local and regional IE / MSE teams as needed

Qualifications

• Minimum: Bachelor’s degree in engineering or related industry
• Experience in manufacturing, operations, and/or Lean/Continuous Improvement methodologies
• Experience with data analysis tools
• Strong analytical problem-solving skills, ability to work cross-functionally in a fast-paced environment, and highly comfortable engaging directly with operations teams on the production floor
• 10% domestic travel
• Preferred: Six Sigma Green/Black Belt (preferred) or actively working towards it
• Knowledge of Excel, Power BI, ERP, and SQL or similar systems