Business Analyst, Manufacturing

Job Purpose

The Business Analyst / Project Manager, Manufacturing IT & Digital is responsible for analyzing manufacturing performance, developing KPI reporting, and managing execution of manufacturing-related IT, digital, and AI enabled solutions and initiatives. This role bridges data, operations, and project execution by translating business needs into actionable insights and ensuring successful delivery of projects that improve cost, quality, delivery, and productivity.

Develop, maintain, and analyze manufacturing KPIs (cost, quality, delivery, productivity)

Create dashboards, reports, and visualizations to support operational and leadership decision making

Gather and translate business requirements into data, reporting, and system needs

Support IT, digital and AI enabled initiatives by providing data analysis, reporting, and performance insights

Identify trends, gaps, and improvement opportunities through data analysis and root cause evaluation

Support integration and use of analytics and AI-enabled tools for reporting and operational insights

Minimum Education al

Qualifications:

Bachelor's degree in Engineering, Manufacturing, Business, Information Systems, or related field

Minimum Experience:

3-5 years of experience in manufacturing, business analysis, data analytics or project/program management. Aerospace or regulated manufacturing experience preferred

Other Job-Specific

Skills:

• Strong analytical and problem-solving skills
• Experience with manufacturing KPIs and performance metrics
• Proficiency with data visualization tools (Power BI, Tableau, Excel, etc.)
• Working knowledge of enterprise systems (SAP, MES, PLM, Teamcenter, etc.)
• Familiarity with data analytics and AI-enabled reporting tools
• Strong communication skills, including ability to present data clearly to leadership
• Ability to work cross-functionally and manage multiple priorities

Accuracy, timeliness, and usability of KPI reporting and dashboards

Effectiveness of data analysis in identifying operational improvements

Adoption and usage of reporting tools and dashboards by stakeholders

Responsiveness to business requests for analysis and reporting support

Contribution to measurable improvements in cost, quality, and delivery performance

Quality and clarity of executive-level reporting and insights

Selection of appropriate analytical methods, tools, and reporting formats

Identification and escalation of data trends, risks, and performance gaps

Recommendations for process improvements based on analytical findings

Prioritization of analysis and reporting requests based on business needs

Office and manufacturing floor environment

Frequent interaction with cross-functional teams

Occasional extended hours to support project deadlines and executive deliverables