Manufacturing Operations Data Analyst

Amphenol ICC; Yocumtown (PA); On-site; USD 65,000 - 90,000; Full time

Job summary

Amphenol Communications Solutions (ACS), part of Amphenol Corporation, is seeking a Manufacturing Operations Data Analyst to analyze manufacturing data, improve reporting, and provide insights for decision-making.

You will work with ERP data, develop dashboards, and partner with Operations, Finance, and IT to improve data visibility. Strong Excel and Power BI skills, plus the ability to communicate findings to leadership, are essential.

Qualifications

• Bachelor’s degree in data analytics, business, engineering, operations, or a related field.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Proficiency in Excel, including pivot tables, formulas, and charts.
• Ability to analyze large datasets and communicate findings to leadership.
• Experience with ERP systems and data reporting is preferred.

Responsibilities

• Collect, consolidate, clean, and analyze data from ERP systems and other operational sources.
• Monitor key manufacturing metrics including production, quality, inventory, labor, cost, capacity, and delivery.
• Identify trends, performance gaps, data issues, and opportunities for improvement.
• Create and maintain reports, dashboards, scorecards, and presentations for Operations leadership.
• Automate recurring data collection and reporting processes to reduce manual work and improve accuracy.
• Present key findings and actionable recommendations during Operations Reviews.
• Support continuous-improvement initiatives by providing analysis and measuring results.
• Partner with Operations, Finance, Supply Chain, Quality, Engineering, and IT to improve data visibility and reporting.
• Respond to ad hoc data and reporting requests as needed.

Skills

Analytical thinking

Data analysis

Excel (Pivot tables, formulas, charts)

PowerPoint presentations

Communication & presentation

Cross-functional collaboration

Education

Bachelor’s degree in Data Analytics, Business, Engineering, Operations, or related field

Tools

SQL

Power BI

ERP systems

Power Query

Excel

Job description

Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics markets. Amphenol Corporation is one of the world’s largest designers and manufacturers of electrical, electronic and fiber optic connectors and interconnect systems, antennas, sensors and sensor-based products and coaxial and high-speed specialty cable. ACS has an expansive global presence in research and development, manufacturing, and sales. We design and manufacture a wide range of innovative connectors as well as cable assemblies for diverse applications including server, storage, data center, mobile, RF, networking, industrial, business equipment, and automotive.

Manufacturing Operations Data Analyst

Position Summary

The Manufacturing Operations Data Analyst supports Operations leadership by analyzing manufacturing data, improving reporting processes, and providing insights that support business decisions. This role works with ERP and operational data to identify trends, improve reporting accuracy, and automate recurring processes.

Key Responsibilities

• Collect, consolidate, clean, and analyze data from ERP systems and other operational sources.
• Monitor key manufacturing metrics including production, quality, inventory, labor, cost, capacity, and delivery.
• Identify trends, performance gaps, data issues, and opportunities for improvement.
• Create and maintain reports, dashboards, scorecards, and presentations for Operations leadership.
• Automate recurring data collection and reporting processes to reduce manual work and improve accuracy.
• Present key findings and actionable recommendations during Operations Reviews.
• Support continuous-improvement initiatives by providing analysis and measuring results.
• Partner with Operations, Finance, Supply Chain, Quality, Engineering, and IT to improve data visibility and reporting.
• Respond to ad hoc data and reporting requests as needed.

Required Qualifications

• Bachelor’s degree in Data Analytics, Business, Engineering, Operations, Supply Chain, or a related field.
• Strong analytical, problem-solving, and attention-to-detail skills.
• Proficiency in Microsoft Excel, including pivot tables, formulas, and charts.
• Proficiency in Microsoft PowerPoint and ability to create clear, professional presentations.
• Ability to analyze large datasets and communicate findings clearly to leadership.
• Strong organizational and time-management skills with the ability to meet deadlines.

Preferred Qualifications

• Experience with manufacturing, operations, supply chain, or factory data.
• Experience working with ERP systems and/or Power BI.
• Familiarity with SQL, Power Query, or similar data-analysis tools.
• Experience building dashboards or automating recurring reports.
• Understanding of manufacturing KPIs such as production output, labor efficiency, downtime, scrap, inventory, cost, capacity, and on-time delivery.

Key Competencies

• Analytical & Critical Thinking
• Problem-Solving
• Data Accuracy & Attention to Detail
• Communication & Presentation
• Cross-Functional Collaboration
• Organization & Time Management
• Process Improvement
• Manufacturing & Business Awareness

Amphenol Corporation is proud of our reputation as an excellent employer. Our focus is to provide the highest level of support and responsiveness to both our employees and our customers, the world's largest technology companies. Amphenol Corporation offers the opportunity for career growth within a global organization. We believe that Amphenol Corporation is unique in that every employee, regardless of his or her position, has the ability to positively impact the business.

Amphenol is an “Equal Opportunity Employer” - Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity/National Origin. For additional company information please visit our website at https://www.amphenol-cs.com/