Industrial Analytics Engineer L4

Wipro; Boston (MA); On-site; USD 60,000 - 135,000; Full time

Benefits offered by this job

Medical and dental benefits

Disability insurance

Paid time off

Other paid/unpaid leave

Job summary

Wipro is seeking an Industrial Engineering Analytics Engineer to lead advanced analytic models for manufacturing efficiency, capacity planning, and cost optimization. You will build capacity and labor models, evaluate ROI-based business cases, and collaborate across Manufacturing, Operations, Supply Chain, Finance, and Engineering to translate insights into executive recommendations.

Experience with MES data integration and real-time dashboards is a plus.

Qualifications

• 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.

Responsibilities

• 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 across production systems.
• Create and evaluate business cases for capital investments (ROI, IRR, NPV, cost-benefit).
• Lead COGS modeling including labor, overhead, scrap, and process-driven costs.
• Support factory layout, site planning, and material flow decisions with data-driven insights.
• Utilize factory simulation models to analyze throughput and bottlenecks.
• Collaborate with cross-functional teams to align models with real-world constraints.
• Translate analytical outputs into executive insights and recommendations.
• Integrate shop-floor data with IE models for real-time dashboards.

Skills

Robotics

Education

Bachelor's degree in Industrial Engineering / related field

Job description

Job Description

Job Description

Role Overview

The Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.

Key Responsibilities

• 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

AI & Data Systems

• 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

Basic Qualifications

• 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

Mandatory Skills: Robotics

Experience: 5-8 Years

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience.

Based on the position, the role is also eligible for Wipro's standard benefits

• full range of medical and dental benefits options
• disability insurance
• paid time off (inclusive of sick leave)
• other paid and unpaid leave options

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.