AI Data & Business Analyst

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.

Position: AI Data & Business Analyst

Location:
Etters, PA

Amphenol High Speed Products Group is the market leader for high-speed, high-bandwidth electrical connectors, cables, and systems for the Datacom/Telecom market (AI, ML, GPUs, Servers, Switches, Routers, Storage). Our products help to enable the artificial intelligence revolution by helping major Tier 1 Hyperscale Data Centers, their OEMs and break-out AI customers to innovate globally. Our global headquarters is in Nashua, NH and we have engineering, sales, and manufacturing locations globally.

We are seeking a Data & Business Analyst to join a new AI engineering capability within our NPI organization.

RESPONSIBILITIES:

The AI Data & Business Analyst will translate complex engineering workflows and data into clear requirements, decision-ready insights, and measurable improvement opportunities. Working closely with NPI, Industrial, Process, Test, Quality, and Program Management teams, the analyst will map current processes, establish trusted data definitions, and help prioritize where analytics, automation, and AI can deliver the greatest business value. Initial priorities include cost-modeling and capacity analytics, followed by NPI knowledge management and adoption measurement for new AI-enabled tools.

KEY RESPONSIBILITIES:

• Document current-state and future-state NPI engineering workflows, including cost modeling, capacity planning, design reviews, and stage-gate activities; identify bottlenecks, control points, and high-value improvement opportunities
• Lead requirements discovery with NPI, Industrial, Process, Test, Quality, Manufacturing, and Program Management stakeholders; translate business needs into user stories, acceptance criteria, and prioritized use cases
• Define and maintain business rules, data definitions, and KPI logic for cost, capacity, yield, schedule, and NPI readiness to create a consistent source of truth
• Extract, clean, reconcile, and structure engineering and factory data using SQL, Excel, Power Query, and other appropriate tools; identify and resolve data-quality issues with system owners
• Develop decision-ready analyses, dashboards, and reports that reveal trends, constraints, tradeoffs, and actionable opportunities for engineering and business leaders
• Partner with the Lead AI Software Engineer to convert prioritized workflows into well-scoped automation requirements, representative test cases, and evaluation datasets
• Curate and govern NPI knowledge content - including standards, lessons learned, cost models, and project history - and coordinate subject-matter review of AI-generated outputs
• Establish baselines and success metrics for AI-enabled workflows; communicate results, document processes, train users, and support adoption across global engineering teams

QUALIFICATIONS:

• Bachelor's degree in Engineering, Industrial Engineering, Information Systems, Data Analytics, Operations, or a related field, or equivalent practical experience
• 4+ years of experience in business analysis, data analysis, process improvement, or engineering analytics within a manufacturing, engineering, operations, or NPI environment
• Demonstrated experience mapping and improving engineering or manufacturing workflows and working with operational KPIs, business rules, and cross-functional stakeholders
• Strong analytical capability with SQL, Excel, and a data-visualization or BI platform such as Power BI;…