Applied Materials

1 month ago

Business Intelligence Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Translate wafer experiment workflows into data requirements and build metrics, dashboards, and analytical reports to track process tool performance, recipe execution, chamber health, and wafer-level traceability. Design data pipelines across AWS/Kafka/ClickHouse, validate and reconcile data from MES and metrology sources, and develop reusable Python/SQL analysis for DOE and virtual metrology. Govern access, document lineage and KPIs, and enable developers through self-service BI support and training.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with process engineers and integration teams to turn wafer experiment and yield-learning objectives into reporting requirements.
•Design, develop, and maintain metrics, dashboards, and analytical reports for process tool performance, recipe execution, and chamber health.
•Write specifications for data pipelines to onboard metrology tools and sensors, collaborating with data engineering on schema design, transformations, and quality checks.
•Validate and reconcile data across MES, tool logs, recipe management, metrology platforms, and yield databases for wafer/lot/run/step linkage.
•Train application developers and data analysts on the data warehouse and BI tools, and collaborate on predictive model operationalization by ensuring features and labels are available and documented.

Travel: Low travel

Pay and Benefits

Salary: USD 140,500 - 193,000 annually

Key Requirements

•4+ years of experience in data analysis, preferably in a high-tech or manufacturing environment.
•Ability to translate engineering workflows and business needs into data requirements and specifications.
•Strong proficiency in SQL and Python for data analysis, automation, and pipeline support.
•Experience designing and validating metrics, KPIs, and dashboards for operational or engineering environments.
•Bachelor’s degree in data science, computer science, engineering, or related field.

Experience:4+ yearsManufacturingHigh-tech

Education:Bachelor's

Skills:DocumentationCommunicationStakeholder engagementAttention to detailCollaboration

Tech Stack:ClickHouseSQLPythonAWSKafkaTableauPower BISupersetGrafanaLookerGitCI/CDJIRABitBucketETLData governanceDashboardsData pipelinesAWS/Kafka/ClickHouse

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

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

1 month ago

Business Intelligence Analyst

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Partner with process engineers and integration teams to turn wafer experiment and yield-learning objectives into reporting requirements.
•Design, develop, and maintain metrics, dashboards, and analytical reports for process tool performance, recipe execution, and chamber health.
•Write specifications for data pipelines to onboard metrology tools and sensors, collaborating with data engineering on schema design, transformations, and quality checks.
•Validate and reconcile data across MES, tool logs, recipe management, metrology platforms, and yield databases for wafer/lot/run/step linkage.
•Train application developers and data analysts on the data warehouse and BI tools, and collaborate on predictive model operationalization by ensuring features and labels are available and documented.

Travel: Low travel

Pay and Benefits

Salary: USD 140,500 - 193,000 annually

Key Requirements

•4+ years of experience in data analysis, preferably in a high-tech or manufacturing environment.
•Ability to translate engineering workflows and business needs into data requirements and specifications.
•Strong proficiency in SQL and Python for data analysis, automation, and pipeline support.
•Experience designing and validating metrics, KPIs, and dashboards for operational or engineering environments.
•Bachelor’s degree in data science, computer science, engineering, or related field.

Experience:4+ yearsManufacturingHigh-tech

Education:Bachelor's

Skills:DocumentationCommunicationStakeholder engagementAttention to detailCollaboration

Tech Stack:ClickHouseSQLPythonAWSKafkaTableauPower BISupersetGrafanaLookerGitCI/CDJIRABitBucketETLData governanceDashboardsData pipelinesAWS/Kafka/ClickHouse

Company Brief

Applied Materials

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

Glassdoor: 3.9

Website LinkedIn Glassdoor