Job PurposeThe 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.
Key Accountabilities - 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
Qualifications, Experience, and Skills - Minimum Educational 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
Key Performance Indicators - 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
Decisions Expected - 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
Working Conditions - Office and manufacturing floor environment
- Frequent interaction with cross-functional teams
- Occasional extended hours to support project deadlines and executive deliverables
