Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

Job Description

Skill Set

• Capacity Planning,Industrial Manufacturing,Material Planning,Greenfield or brownfield project experience,Equipment planning,Labour planning,CAPEX management,PFMEA,Lean Manufacturing,Layout planning,Knowledge of AI-driven tools

• Total Experience :

• 7.00 to 13.00 Years

• No of Openings :

• 1

• Job Post Date :

• 11/05/2026

• Job Expiry Date :

• 31/08/2026

• Domain :

• IT

• Location :

• PITTSBURGH [United States]

• Job Reference No :

• 4069692

• Recommend to friend

• Job Summary

• Job Title: Industrial Engineering Analytics Engineer (Manufacturing Systems & Modeling)

• Location: Boston, MA (Onsite)

• Required Skills:

• Greenfield or brownfield project experience (good to have)

• Equipment planning

• Capacity planning

• Labour planning

• CAPEX management (good to have)

• Supplier validation

• Capital investments – ROI, IRR, NPV, and cost-benefit analysis

• Design and maintain OEE models

• Support factory ramp-up, installation, and operational readiness through model validation and performance tracking

• Material planning

• PFMEA

• Lean Manufacturing

• Six Sigma

• Layout planning (good to have)

• Simulation tools experience (not mandatory)

• Strong expertise in Excel

• Knowledge of AI-driven tools (good to have)

• JD:

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

• optimization.

• This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decisionmaking across factory and site operations.

• The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

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.

This role is responsible for building and managing integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to enable data-driven decision making across factory and site operations. The ideal candidate will combine strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support large-scale manufacturing environments.

Key Responsibilities

Develop and own integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations

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

Develop and track scrap and yield models, quantifying cost impact and identifying improvement opportunities

Design and maintain OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement

Perform buffer and WIP analysis to optimize inline and interline storage, reduce bottlenecks, and stabilize production flow

Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies

Integrate PFEP (Plan for Every Part) data into models to optimize material flow, storage, and line-side delivery strategies

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, PFEP,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

Preferred Qualifications

• Experience building end-to-end IE models integrating capacity, labor, cost, PFEP, and material flow

• Proficiency in capacity modeling, OEE analysis, cycle time studies, and line balancing

• Hands-on experience with PFEP, material flow optimization, and warehouse integration

• Experience with factory simulation tools (e.g., FlexSim, AnyLogic, Simio)

• Strong experience in business case development (ROI, IRR, NPV)

• Knowledge of COGS modeling, cost structures, and financial impact analysis

• Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau, or similar)

• Familiarity with AI/ML applications in manufacturing analytics (preferred)

• Familiarity with lean manufacturing and continuous improvement methodologies

• Key Skills & Competencies

• Strong analytical and problem-solving skills with a data-driven mindset

• Ability to build scalable models and analytics systems that support both tactical and strategic decisions

• Strong communication skills to translate complex data into actionable insights

• Ability to work across cross-functional teams and influence decision-making

• Attention to detail with a systems-level understanding of manufacturing operations

• Ability to manage multiple projects and priorities in a fast-paced environment

The pay range for this role is $110k- $140k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

This role is also open for contract: Put the Pay rate range: 60/hr - 70/hr

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com .”

Recommend to Friend

Please enter your Name

Please enter your email

Please enter your Friends Name

Please enter your friend's emailId Please enter valid email id , e.g. abc@gmail.com