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Industrial Analytics Engineer L4

Wipro Limited Boston, MA

Boston, MA

Today

$60k - $135k/yr Full time Capacity Planning Data Analysis Data Analytics

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Job Description

Wipro Limited is seeking an Industrial Analytics Engineer L4 to help advance AI-driven industrial engineering analytics. Based in Boston, MA on an onsite basis, the role focuses on building modeling and analytics capabilities that improve manufacturing efficiency, capacity planning, and cost optimization through shop-floor data and real-time visibility.

In this position, you will develop analytical models spanning capacity, labor, cost, and business cases, while partnering across Manufacturing, Operations, Supply Chain, Finance, Engineering, and MES and Controls to align models with operational constraints and decision needs.

Key Responsibilities

Build and maintain capacity models (target vs. forecast vs. gated capacity) using 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 capital investment business cases, including ROI, IRR, NPV, and cost-benefit analysis
Lead COGS modeling covering labor, overhead, scrap, and process-driven cost components
Support factory layout, site planning, and material flow decisions using data-driven insights and modeling
Run scenario analysis and sensitivity studies to evaluate production strategies and capacity expansion plans
Utilize and/or develop factory simulation models such as FlexSim, AnyLogic, and 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
Work with MES and Controls teams to integrate shop-floor data into IE models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards
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 for capacity, throughput, and cost optimization
Establish best practices for data quality, model standardization, and system integration across the organization

Requirements

Bachelor’s 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
Experience: 5-8 years

Technologies

FlexSim
AnyLogic
Simio
MES

Mandatory Skills

Robotics

Compensation: USD 60,000 - 135,000 per year.

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