Job Description
Job Description
Position: ORT Data Analyst
Location: Valley Green, PA
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally.
We are seeking a detail-oriented and analytical professional to support data-driven initiatives within our HSIO Connectors & OverPass division. This role is ideal for someone who enjoys working with data, performing statistical analysis, and contributing to process improvements in a structured environment. The successful candidate will play a key role in analyzing data to support quality and engineering teams, helping drive process control and automation readiness.
RESPONSIBILITIES:
- Perform data analysis to support ongoing reliability testing (ORT) and quality initiatives.
- Work with large datasets to provide insights for AI camera systems and automation projects.
- Collaborate with engineering and quality teams to apply statistical and process control methods.
- Prepare reports and visualizations that communicate findings to internal stakeholders.
- Assist in responding to customer inquiries through accurate and timely data analysis.
- Participate in global initiatives as needed, including occasional international travel.
QUALIFICATIONS:
- Bachelor's degree in Statistics, Data Analytics, Engineering, or a related field (Master's preferred but not required).
- Experience with data analytics, statistical modeling, and process improvement techniques.
- Familiarity with quality systems, ORT, and automation technologies is a plus.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and collaborate effectively with cross-functional teams.
- Willingness to travel internationally on occasion.
This is an opportunity to contribute to a growing data analytics function within a high-impact division at Amphenol. If you're passionate about data and want to make a difference through analysis and collaboration, we'd love to hear from you.