ORT Data Analytics Manager

ORT Data Analytics Manager - HSIO Connectors/OverPass

Location: Valley Green, PA (with occasional international travel)

About the Role:

We are seeking a highly analytical and experienced professional to lead data-driven initiatives within our HSIO Connectors/OverPass division. This role is ideal for someone who thrives in a structured environment, enjoys deep statistical analysis, and prefers to work behind the scenes rather than in reactive customer-facing roles. The ideal candidate will be instrumental in building a data analytics function from the ground up, supporting quality and engineering teams with insights that drive process control and automation readiness.

Key Responsibilities:

• Lead the development of a data analytics function focused on quality and ongoing reliability testing (ORT).
• Analyze large datasets to support decision-making around AI camera systems and automation implementation.
• Collaborate with engineering and quality teams to apply Six Sigma, Black Belt, and process control methodologies.
• Serve as a mentor and coach to junior engineers and analysts, fostering a culture of data-driven problem solving.
• Partner with internal stakeholders to support customer inquiries through robust data analysis.
• Provide strategic insights without direct responsibility for managing large teams or reactive quality support.
• Travel internationally as needed to support global initiatives, including visits to China, Vietnam, and other sites.

Qualifications:

• Master's degree in Statistics or a related field (preferred).
• Proven experience in data analytics, statistical modeling, and process improvement.
• Strong understanding of quality systems, ORT, and automation technologies.
• Excellent communication and mentoring skills.
• Willingness to travel internationally.
• Comfortable working independently and leading through influence.

Why Join Us:

This is a unique opportunity to shape the future of data analytics within a high-impact division at Amphenol. If you're passionate about data, prefer a focused analytical role, and want to make a difference through mentorship and innovation, we'd love to hear from you.