AI Data & Business Analyst

Amphenol Communications Solutions; Yocumtown (PA); On-site; USD 95,000 - 125,000; Full time

Job summary

Amphenol Communications Solutions is seeking an AI Data & Business Analyst to translate complex engineering data into clear requirements and insights for the NPI organization. You will map processes, define data definitions, and prioritize analytics, automation, and AI opportunities across global teams.

The role focuses on cost-modeling, capacity analytics, knowledge management, and adoption of AI-enabled tools, with travel required 10–15% of the time.

Qualifications

• Bachelor's degree in Engineering, Industrial Engineering, Information Systems, Data Analytics, Operations, or related field
• 4+ years of experience in business analysis, data analysis, process improvement, or engineering analytics within manufacturing, engineering, operations, or NPI
• Experience mapping and improving engineering/manufacturing workflows with KPIs and cross-functional stakeholders
• Strong SQL, Excel, and data visualization with Power BI; reconciling data from multiple sources
• Experience translating ambiguous problems into structured requirements and measurable outcomes
• Excellent communication and change-management skills; able to travel globally as needed
• Ability to travel occasionally, 10-15% of the time

Responsibilities

• Document current-state and future-state NPI engineering workflows, including cost modeling and capacity planning
• Lead requirements discovery with cross-functional stakeholders; translate needs into user stories and acceptance criteria
• Define and maintain business rules, data definitions, and KPI logic for cost, capacity, yield, and readiness
• Extract, clean, reconcile, and structure engineering and factory data using SQL and Excel; address data-quality issues
• Develop decision-ready analyses, dashboards, and reports for engineering and leadership
• Collaborate with AI software engineer to translate workflows into automation requirements and test cases
• Govern NPI knowledge content and coordinate review of AI outputs
• Establish baselines and success metrics; train users and support adoption across sites

Skills

SQL

Excel

Power BI

Data analysis

Process improvement

Requirements gathering

Stakeholder management

Communication

Education

Bachelor's degree in Engineering/Industrial Engineering/Information Systems/Data Analytics

Tools

Power Query

Python

ERP/PLM familiarity

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.

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; ability to reconcile data from multiple sources and explain findings clearly
• Experience translating ambiguous business or engineering problems into structured requirements, measurable outcomes, and practical recommendations
• Excellent communication, facilitation, and change-management skills; able to work independently, influence without authority, and travel as needed to support global sites
• Ability to travel occasionally, 10-15% of the time

Preferred Qualifications

• Experience with PLM, ERP, MES, demand-planning, or factory/test data, particularly for NPI costing, capacity, schedule, or readiness workflows
• Experience with Power Query or basic scripting in Python or PowerShell, plus practical exposure to AI/LLM-enabled tools, knowledge management, or evaluation methods

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/