Industrial Analytics Engineer L4
Boston, MA - USA
Job Summary
The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency capacity planning and cost optimization.
- Build and maintain capacity models (target vs. forecast vs. gated capacity) incorporating cycle time OEE yield losses and bottleneck analysis
- Develop labor models to optimize headcount utilization and labor cost (LOH) across production systems
- Create and evaluate business cases for capital investments including ROI IRR NPV and cost-benefit analysis
- Lead COGS modeling including labor overhead scrap and process-driven cost components
- Support factory layout site planning and material flow decisions through data-driven insights and modeling
- Perform scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
- Utilize and/or develop factory simulation models (e.g. FlexSim AnyLogic Simio) to analyze throughput bottlenecks and system performance
- Support factory ramp-up installation and operational readiness through model validation and performance tracking
- Collaborate with cross-functional teams (Manufacturing Operations Supply Chain Finance Engineering) to align models with real-world constraints and business needs
- Translate complex analytical outputs into clear executive-level insights and recommendations
- Collaborate with MES and Controls teams to integrate shop-floor data with IE models ensuring accurate OEE measurement and enabling real-time scalable dashboards for operational visibility and executive decision-making
- Introduce and implement AI-driven tools and platforms to enhance industrial engineering analytics and decision-making
- Design and manage scalable data models and data architecture for IE capacity labor and cost analytics
- Develop standardized systems frameworks and governance for data modeling analytics and reporting
- Automate data collection validation and reporting pipelines using AI and advanced analytics tools
- Enable predictive analytics and intelligent decision-making for capacity throughput and cost optimization
- Establish best practices for data quality model standardization and system integration across the organization
- Bachelors degree in Industrial Engineering Mechanical Engineering Operations Research or a related field
- 7 years of experience in industrial engineering analytics manufacturing modeling or operations analysis
- Strong understanding of manufacturing systems capacity planning and industrial engineering principles
Required Experience:
IC
About Company
As a global leader, Wipro blends consulting and AI expertise across design, engineering and operations to accelerate business transformation and deliver future-ready technology.