AI Data & Business Analyst

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
• Able to travel occasionally, 10-15% of the time