Warehouse Flow Engineer & Data-Driven Ops Leader

Schneider Electric; Tyler (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Schneider Electric is seeking a Logistics Engineer to drive world class performance in our distribution centers, applying SPS and 4IR tools to optimize warehouse flow, layout, and governance. This role blends industrial engineering with data analytics, machine learning, and AI to translate analysis into practical on‑floor actions.

You will design and improve inbound, storage, picking, packing, and outbound processes, build dashboards (Tableau/Power BI), and partner with IT and operations to

Qualifications

• Bachelor of Science in Industrial Engineering or related quantitative field.
• Minimum of 3 years in logistics, warehousing, distribution, or manufacturing operations with demonstrable improvements.
• Proven experience improving warehouse flow, layout, and material handling using IE and data-driven methods.
• Experience designing or strengthening process control and governance systems (standard work, KPIs, SIM meetings, escalation, control plans).
• Hands-on use of Advanced Data Analytics to solve operational problems (productivity, capacity, service, inventory).
• Exposure to ML/AI concepts and tools (forecasting, clustering, anomaly detection, optimization).
• Proficiency with SQL and analytics environments (Python or C#) and BI tools (Tableau/Power BI).

Responsibilities

• Design, analyze, and continuously improve warehouse flow processes to increase throughput and service levels.
• Lead layout/design optimization using IE tools and CAD with data-driven scenario modeling.
• Strengthen governance of process controls and KPIs for stable operations.
• Use analytics, ML/AI to detect bottlenecks, analyze demand and capacity, and optimize labor planning and routing.
• Create and maintain time standards and engineered labor standards.
• Build digital dashboards and reporting to support daily management and problem solving.
• Collaborate with IT, Data, and operations to leverage IoT, WMS/WCS data, and predictive models.

Skills

Data analytics

Industrial engineering

Lean Six Sigma

Problem solving

Leadership

Education

Bachelor of Science in Industrial Engineering

Tools

SQL

Power Automate

PowerShell

PowerApps

Copilot Studio

Python

C#

Tableau

Power BI

Job description

Schneider Electric is seeking a Logistics Engineer to drive world class performance in our distribution centers, applying SPS and 4IR tools to optimize warehouse flow, layout, and governance. This role blends industrial engineering with data analytics, machine learning, and AI to translate analysis into practical on‑floor actions.

You will design and improve inbound, storage, picking, packing, and outbound processes, build dashboards (Tableau/Power BI), and partner with IT and operations to