Process Intelligence Engineer

Applied Materials
Singapore
Workplace: OnsiteFull timeFunction: Communications, PR & CommunityExperience: 4-7 yearsEducation: bachelorsSkills: ["Communication","Stakeholder management","Collaboration","Analytical mindset","Continuous improvement"]

Design, build, and maintain industrial and systems engineering data modeling and analytics solutions that improve decision-making across logistics, supply chain, and manufacturing. Partner with engineering and operations stakeholders to translate business questions into reporting specifications, KPI frameworks, dashboards, and actionable insights. Develop ETL pipelines and automated dataset refresh workflows using tools like Power BI/Tableau, SQL, Python, and big-data/cloud platforms.

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Applied Materials
Applied Materials
3 months ago

Process Intelligence Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Design, build, and maintain industrial and systems engineering data modeling and analytics solutions that improve decision-making across logistics, supply chain, and manufacturing. Partner with engineering and operations stakeholders to translate business questions into reporting specifications, KPI frameworks, dashboards, and actionable insights. Develop ETL pipelines and automated dataset refresh workflows using tools like Power BI/Tableau, SQL, Python, and big-data/cloud platforms.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Communications, PR & Community
Seniority: Mid level

Key Responsibilities

  • •Design and develop reporting solutions and KPI frameworks for logistics, supply chain, and manufacturing teams.
  • •Build and maintain dashboards, analytical data models, and automated workflows for dataset refresh reliability.
  • •Develop scalable ETL pipelines for ingestion, cleansing, integration, and transformation of large datasets across SAP, Databricks, SQL data warehouses, and operational systems.
  • •Perform ad-hoc statistical, diagnostic, and root-cause analysis using SQL and Python to support business investigations and operational improvements.
  • •Apply statistical and scenario-based simulation (e.g., what-if, Monte Carlo, sensitivity analysis) to evaluate outcomes and communicate results through dashboards and narratives.

Key Requirements

  • •Bachelor’s degree required; Master’s preferred in Industrial & Systems Engineering, Computer Science, Business Analytics, Systems Engineering, or a related field.
  • •4–7 years of experience in process intelligence, analytics, dashboarding, or data-engineering–adjacent environments.
  • •Strong proficiency in SQL and Python for analytics, problem-solving, and investigation support.
  • •Expertise with Power BI, Tableau, or equivalent visualization tools and KPI/dashboard development.
  • •Experience designing ETL/ELT data pipelines and data modeling (e.g., star/snowflake schemas) across enterprise systems and data warehouses.
Experience:4-7 yearsAnalyticsData engineeringLogisticsSupply chainManufacturingData visualization
Education:Bachelor's in Industrial & Systems Engineering, Computer Science, Business Analytics, Systems Engineering or a related field
Skills:CommunicationStakeholder managementCollaborationAnalytical mindsetContinuous improvement
Tech Stack:Power BITableauSQLPythonETLELTSAPDatabricksDAXAzureSnowflakeAWSGCPData modelingStar/snowflake schemasMonte Carlo simulationScenario simulationDashboardsKPI frameworksData refresh pipelines

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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