Industrial Engineering Analytics Engineer

Black Rock Groups
  • Pittsburgh, PA
  • Quick Apply
3 days ago

Job Description

Job Title: Industrial Engineering Analytics Engineer

Location: Pittsburgh, PA (Onsite)

Role Overview:
The Industrial Engineer will be responsible for developing and managing industrial engineering models that support manufacturing capacity planning, labor planning, operational efficiency, productivity improvement, and cost optimization. The role requires strong expertise in manufacturing systems, production analytics, COGS modeling, OEE analysis, CAPEX planning, and scrap reduction initiatives.

Mandatory Responsibilities:

  • Develop and maintain capacity planning models to support current and future production requirements.
  • Perform labor planning and workforce optimization based on production demand, takt time, and utilization targets.
  • Build and manage COGS (Cost of Goods Sold) models including direct labor, overhead, scrap, and manufacturing costs.
  • Lead CAPEX planning activities including equipment justification, investment analysis, and manufacturing expansion planning.
  • Develop and maintain OEE (Overall Equipment Effectiveness) models covering Availability, Performance, and Quality metrics.
  • Perform scrap rate analysis, yield tracking, and cost impact assessments to identify improvement opportunities.
  • Conduct cycle time studies, bottleneck analysis, line balancing, and productivity improvement initiatives.
  • Support factory capacity expansion and operational readiness through analytical modeling and validation.
  • Develop manufacturing dashboards and reports using Excel, Power BI, SQL, or similar analytical tools.
  • Collaborate with Manufacturing, Operations, Supply Chain, Finance, and Engineering teams to support data-driven decision making.
  • Perform scenario analysis and sensitivity studies related to capacity, labor, throughput, and manufacturing costs.
  • Generate management-level reports and recommendations based on industrial engineering analysis.

Mandatory Skills:

  • Capacity Planning and Capacity Modeling
  • Labor Planning and Workforce Optimization
  • COGS Modeling and Manufacturing Cost Analysis
  • CAPEX Planning and Investment Justification
  • OEE Analysis and Performance Improvement
  • Scrap Rate Calculation and Yield Analysis
  • Cycle Time Analysis and Line Balancing
  • Manufacturing Process Improvement
  • Production Planning and Throughput Analysis
  • Advanced Microsoft Excel
  • Power BI and Data Visualization

Basic Qualifications:

  • Bachelor's degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, Operations Research, or related discipline.
  • 7+ years of experience in Industrial Engineering, Manufacturing Analytics, Capacity Planning, or Operations Analysis.
  • Strong understanding of manufacturing systems and production operations.

The pay range for this role is $130k- $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: 75/hr - 80/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."

Numbers & Facts

LocationPittsburgh, PA

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