Process Intelligence Engineer
Core
Designing, building, and maintaining industrial data modeling and analytics solutions to support data-driven decision-making in logistics, supply chain, and manufacturing operations.
Role type
Process Intelligence Engineer (Industrial & Systems Engineering)
Builds
Scalable reporting solutions, analytical data models, dashboards, ETL pipelines, and simulation models for operational visibility and continuous improvement.
Domain
Semiconductor manufacturing / Industrial & Systems Engineering
Deliverable
dashboards & analysis
Required skills
SQL, Python, Power BI, Tableau, ETL/ELT frameworks, data modeling (star/snowflake schemas), statistical analysis, scenario-based simulation, Monte Carlo simulation, sensitivity analysis, DAX
Preferred skills
Cloud platforms (Azure, Databricks, Snowflake, AWS, GCP), predictive/prescriptive modeling, capacity/demand/throughput analysis, data automation governance
Technologies
Power BI, Tableau, SQL, Python, Databricks, SAP, Azure, Snowflake, AWS, GCP
Responsibilities
Design and develop reporting solutions for logistics and manufacturing teams; Build scalable ETL data pipelines for large datasets; Perform statistical, diagnostic, and root-cause analysis; Create automated workflows for dataset refresh and reliability; Apply simulation techniques (what-if, Monte Carlo) to evaluate business outcomes and operational tradeoffs; Translate business questions into scalable reporting and actionable insights.
Seniority
Mid-Senior (4–7 years experience)