Reliability Data Analytics Engineer for AI & Hyperscale

Amphenol Corporation; Harrisburg (Dauphin County); Hybrid; USD 90,000 - 135,000; Full time

Job summary

Amphenol Communications Solutions, a division of Amphenol Corporation, is seeking a Reliability Engineer (Data Analytics) to apply statistical modeling, DOE, and data analytics to optimize cable backplane assemblies for AI and hyperscale data centers.

The role collaborates with design, manufacturing, and quality teams from Etters, PA; Raleigh, NC; or Nashua, NH, with some remote work possible and roughly 30% travel.

Qualifications

• Bachelor’s degree in engineering, reliability, statistics, data science, or a related quantitative field.
• 5+ years of experience in reliability, validation, quality, data analytics, or failure analysis; cable, connector, or high-speed interconnect experience preferred.
• Proficiency in reliability statistics, life-data and accelerated-test modeling, sampling methods, confidence bounds, and regression.
• Experience with Six Sigma methods and tools; Green Belt or equivalent practical experience preferred.
• Proficiency with JMP, Minitab, Python, R, SQL, MATLAB, or comparable analytics and visualization tools.
• Hands-on experience with electrical, mechanical, and environmental testing and with diagnosing mixed failure modes.
• Strong analytical, technical leadership, and communication skills.
• Ability to travel up to 30%

Responsibilities

• Develop data-driven reliability and robustness strategies across the product life cycle.
• Analyze reliability, manufacturing, FRACAS, RMA, and field data to identify trends, failure patterns, and systemic risks.
• Apply regression, ANOVA, hypothesis testing, distribution analysis, and multivariate methods to support risk-based decisions.
• Design and analyze experiments to identify critical factors and optimize product and process performance.
• Lead Six Sigma and structured problem-solving efforts using DMAIC, DOE, MSA, SPC, 8D, and root-cause analysis.
• Build reliability and life models using Weibull, Arrhenius, and physics-of-failure methods; correlate accelerated test results with field performance.
• Automate analyses and dashboards that communicate reliability metrics, variation, leading indicators, and emerging risks.
• Lead failure analysis and present clear technical conclusions and recommendations to cross-functional, executive, and customer stakeholders.

Skills

Data analytics

Statistical modeling

DOE (design of experiments)

Six Sigma

Python

R

SQL

MATLAB

Communication skills

Technical leadership

Education

Bachelor’s degree in engineering, reliability, statistics, data science, or related field

Advanced degree preferred

Tools

JMP

Minitab

Python

R

SQL

MATLAB

Job description

Amphenol Communications Solutions, a division of Amphenol Corporation, is seeking a Reliability Engineer (Data Analytics) to apply statistical modeling, DOE, and data analytics to optimize cable backplane assemblies for AI and hyperscale data centers.

The role collaborates with design, manufacturing, and quality teams from Etters, PA; Raleigh, NC; or Nashua, NH, with some remote work possible and roughly 30% travel.