Senior Industrial Engineer: Data-Driven Manufacturing & BI

connect; Secaucus (NJ); On-site; USD 110,000 - 170,000; Full time

Job summary

connect is seeking a Sr. Manufacturing Engineer to lead the Industrial and BI Engineering team, turning data into insights that drive manufacturing decisions.

You will develop, maintain, and expand analytical models, tools, and data structures to support operation planning and performance measurement. You will collaborate with Manufacturing, Supply Chain, Operations, Engineering, and Finance to translate findings into actionable recommendations, applying statistics, optimization, and data-driven

Qualifications

• Bachelor's Degree in Industrial Engineering, Mechanical Engineering, or related field.
• 2 years of experience; master's or doctoral degree with any amount of experience accepted.
• Experience in manufacturing environments is preferred.
• Proficiency with SQL, Python, Tableau and Power BI.
• Strong analytical and problem-solving abilities with good communication.
• Exposure to business, finance, or economics is advantageous.

Responsibilities

• Lead the Industrial and BI Engineering team to turn data into insights for business decisions.
• Develop, maintain, and improve industrial models, analytical tools, data structures, and BI solutions.
• Investigate and propose new technologies and data-driven solutions in automation and analytics.
• Apply statistical analysis, optimization, and problem-solving to drive continuous improvement.
• Collaborate with cross-functional teams to translate analytics into actionable recommendations.

Education

Bachelor's Degree in Industrial Engineering or Mechanical Engineering

Tools

SQL

Python

Tableau

Power BI

Excel

Job description

connect is seeking a Sr. Manufacturing Engineer to lead the Industrial and BI Engineering team, turning data into insights that drive manufacturing decisions.

You will develop, maintain, and expand analytical models, tools, and data structures to support operation planning and performance measurement. You will collaborate with Manufacturing, Supply Chain, Operations, Engineering, and Finance to translate findings into actionable recommendations, applying statistics, optimization, and data-driven