Industrial Engineering Analytics Engineer

Company: Intellectt IncLocation: Austin, Texas (Onsite Only)

Employment Type: Contract

Job Description: Our client is seeking an experienced Industrial Engineering Analytics Engineer to lead the modeling, analysis, and optimization of complex manufacturing systems and advanced robotics production lines. In this role, you will develop integrated industrial engineering models connecting capacity, labor, and cost of goods sold (COGS) to guide operational planning, factory ramp-up, and strategic capital investments. The ideal candidate blends deep core industrial engineering foundations—such as Overall Equipment Effectiveness (OEE), cycle time analysis, and bottleneck identification—with advanced analytical capabilities in Python, SQL, business intelligence platforms, and factory simulation tools to deliver clear, executive-level insights.

Responsibilities: Develop, maintain, and own integrated industrial engineering models linking capacity planning, labor allocation, and Cost of Goods Sold (COGS) across manufacturing and assembly environments. Build dynamic capacity models (target vs. forecast vs. gated capacity), factoring in cycle times, OEE metrics, yield losses, and line bottlenecks. Develop headcount and labor models to optimize labor utilization, staffing curves, and labor overhead (LOH) across production shifts. Construct financial business cases and evaluate capital investments (CapEx) utilizing ROI, IRR, NPV, and cost-benefit frameworks. Design, track, and refine scrap and yield models to quantify financial impacts and highlight scrap-reduction opportunities. Build and maintain standardized OEE models (availability, performance, quality) to drive lean manufacturing and continuous operational improvements. Support factory layout optimization, site capacity planning, and material flow decisions utilizing data-driven spatial and throughput models. Develop and utilize discrete-event factory simulation models (e.g., FlexSim, AnyLogic, Simio) to evaluate line balancing, throughput constraints, and sensitivity scenarios. Partner with Manufacturing Execution Systems (MES) and Controls engineering teams to integrate real-time shop-floor data into IE models, automated reporting pipelines, and interactive executive dashboards (Power BI/Tableau).Explore and implement AI/ML tools, automated data pipelines, and predictive analytics to enhance factory decision-making and operational readiness during ramp-up phases. Translate complex data analysis and scenario studies into concise executive summaries and actionable recommendations for senior leadership.

Required Skills: Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Operations Research, or a related engineering field.7–10 years of professional experience in industrial engineering analytics, manufacturing systems modeling, or operations analysis. Proven hands-on capability building comprehensive capacity, headcount/labor, and OEE models from scratch. Strong analytical skillset, including advanced Excel modeling, SQL, Python for data manipulation, and Power BI or Tableau for visualization and dashboard development. Deep understanding of manufacturing systems, factory physics, cycle time analysis, line balancing, and constraint management. Experience building financial models for manufacturing operations, including COGS breakdowns, CapEx justification, and ROI/NPV evaluation. Experience with discrete-event simulation software (e.g., FlexSim, AnyLogic, Simio) to evaluate plant layouts and material flow dynamics is strongly preferred. Familiarity with Plan for Every Part (PFEP), material flow optimization, warehouse integration, and lean manufacturing methodologies. Excellent executive communication skills, with the ability to convey complex quantitative findings clearly to cross-functional stakeholders and leadership.

Pay Scale: $50/hr to $60/hrBenefits: Employees hired into this position are eligible for the following benefits, subject to applicable plan terms and eligibility requirements: Health Insurance: Medical, dental, and vision insurance options are available through a third-party provider. Employees are responsible for paying the full cost of their insurance premiums.

Retirement Benefits: A 401(k) retirement savings plan is available. No employer matching or other employer contributions are provided. Paid Time Off (PTO): No PTO other than that required by applicable state and local laws.