Senior Industrial Analytics Engineer

HCLTech; Boston (MA); On-site; USD 78,000 - 148,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Employee assistance program

401(k) retirement plan

Paid time off

Paid holidays

Job summary

HCLTech is seeking a Senior Industrial Analytics Engineer to join our team in Pittsburgh, PA on a full-time, onsite basis. The role focuses on building integrated IE models linking capacity, labor, materials flow, PFEP, and COGS to optimize factory planning and operations.

You will develop advanced analytical models to improve manufacturing efficiency, capacity planning, and cost optimization, while creating capacity and labor models and evaluating capital investment cases.

Qualifications

• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.
• Experience developing integrated IE models connecting capacity, labor, material flow, PFEP, and COGS.
• Proficiency with Excel advanced modeling, Python, SQL, Power BI/Tableau.

Responsibilities

• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations.
• Development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization.
• Build 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, including ROI, IRR, NPV, and cost benefit analysis.
• COGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost components.
• Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement.
• Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics.

Skills

Data analysis

Excel modelling

Python

SQL

Power BI

Tableau

Tools

Excel

Python

SQL

Power BI

Tableau

Job description

HCLTech is looking for a highly talented and self- motivated Senior Industrial Analytics Engineer to join it in advancing the technological world through innovation and creativity.

Job ID: 132008

Position Type: Full-time

Location: Pittsburgh, PA / Onsite

Role/Responsibilities

• Develop integrated IE models that connect capacity, labor, material flow, PFEP, and cost (COGS) to support factory planning and operations
• Development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost optimization
• Build 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
• COGS (cost of goods sold) modeling, including labor, overhead, scrap, and process-driven cost components
• Design OEE models (availability, performance, quality) to drive operational efficiency and continuous improvement
• Develop process flow diagrams (PFDs) and value stream maps to represent manufacturing systems and identify inefficiencies
• Design scalable data models and data architecture for IE, capacity, labor, PFEP, and cost analytics
• Experience with data analysis tools (Excel advanced modeling, Python, SQL, Power BI/Tableau)
• 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis.)..

Pay and Benefits

Pay Range Minimum: $78,000 per year

Pay Range Maximum: $148,000 per year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to [e-mail] for investigation.

Compensation and Benefits

A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.