Job Title: Industrial Engineering Analytics EngineerLocation: Long term will be located in Austin, TX (first 2-3 months will be traveling/working onsite in Pittsburg, PA for training)Job DescriptionThe Industrial Engineering Analytics Engineer leads the development and application of advanced analytical models to improve manufacturing efficiency, capacity planning, and cost optimization in large-scale production environments. This role builds and manages integrated industrial engineering models that connect capacity, labor, material flow, and cost of goods sold to enable data-driven decision-making across factory and site operations. The position combines strong industrial engineering fundamentals with advanced analytics, simulation, business case development, and AI-driven systems to support both tactical and strategic manufacturing decisions.Responsibilities
- Develop and own integrated industrial engineering models that connect capacity, labor, material flow, and cost of goods sold to support factory planning and operations.
- Build and maintain capacity models that compare target, forecast, and gated capacity, incorporating cycle time, overall equipment effectiveness (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 detailed cost-benefit analysis.
- Lead cost of goods sold (COGS) modeling, including labor, overhead, scrap, and process-driven cost components.
- Develop and track scrap and yield models, quantify cost impact, and identify opportunities for improvement.
- Design and maintain OEE models that capture availability, performance, and quality to drive operational efficiency and continuous improvement.
- 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 develop factory simulation models (such as FlexSim, AnyLogic, and similar tools) to analyze throughput, bottlenecks, and overall system performance.
- Support factory ramp-up, equipment installation, and operational readiness through model validation and performance tracking.
- Collaborate with manufacturing, operations, supply chain, finance, and engineering teams to align models with real-world constraints and business needs.
- Translate complex analytical outputs into clear, executive-level insights and recommendations for senior stakeholders.
- Work closely with MES and controls teams to integrate shop-floor data with industrial engineering models, ensuring accurate OEE measurement and enabling real-time, scalable dashboards for operational visibility and executive decision-making.
- 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 industrial engineering, capacity, labor, and cost analytics.
- Develop standardized systems, frameworks, and governance for data modeling, analytics, and reporting across the organization.
- 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.
- Build scalable models and analytics systems that support both tactical and strategic manufacturing decisions.
- Manage multiple projects and priorities in a fast-paced environment while meeting deadlines and quality standards.
Essential Skills
- Bachelors 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.
- Solid understanding of manufacturing systems, capacity planning, and industrial engineering principles.
- Proven experience building end-to-end industrial engineering models integrating capacity, labor, cost, and material flow.
- Hands-on experience with material flow optimization and warehouse integration.
- Experience with factory simulation tools such as FlexSim, AnyLogic, or comparable platforms.
- Demonstrated experience in business case development, including ROI, IRR, and NPV analysis.
- Knowledge of COGS modeling, cost structures, and financial impact analysis.
- Advanced proficiency in data analysis tools, including Excel (advanced modeling), Python, SQL, and Power BI/Tableau or similar reporting and dashboard tools.
- Strong analytical and problem-solving skills with a data-driven mindset.
- Ability to translate complex analysis into clear, executive-level insights and recommendations.
- Ability to work effectively across cross-functional teams and influence decision-making.
- Attention to detail combined with a systems-level understanding of manufacturing operations.
- Ability to manage multiple projects and priorities in a dynamic, fast-paced environment.
Additional Skills & Qualifications
- Familiarity with AI and machine learning applications in manufacturing analytics.
- Experience introducing and implementing AI-driven tools and platforms to enhance industrial engineering analytics.
- Experience designing scalable data models and data architecture for capacity, labor, and cost analytics.
- Background in developing standardized frameworks and governance for data modeling, analytics, and reporting.
- Experience automating data collection, validation, and reporting pipelines using advanced analytics tools.
- Familiarity with lean manufacturing and continuous improvement methodologies.
- Strong communication skills to translate complex data into actionable insights for technical and non-technical stakeholders.
- Ability to build scalable models and analytics systems that support both tactical and strategic decisions.
Job Type & LocationThis is a Contract position based out of Austin, TX. Pay and BenefitsThe pay range for this position is $70.00 - $80.00/hr. Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Job Type & LocationThis is a Contract position based out of Austin, TX. Application DeadlineThis position is anticipated to close on Nov 14, 2026. Workplace TypeThis is a fully onsite position in Austin,TX.About Actalent
Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.
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Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
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