Applied Materials · 22 hours ago
Business Intelligence Analyst
Santa Clara, CA
Full-time
Onsite
Mid Level
$140K/yr - $193K/yr
4+ years expApplied Materials is a global leader in materials engineering solutions used to produce advanced display and semiconductor chips. The Business Intelligence Analyst role involves partnering with engineers to translate workflows into actionable data, designing metrics and dashboards, and collaborating with data scientists to operationalize predictive models.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
Partner with process engineers, and integration teams to understand wafer experiment workflows—including etch, deposition, and metrology steps—and translate experimental and yield-learning objectives into actionable data and reporting requirements
Design, develop, and maintain metrics, dashboards, and analytical reports focused on process tool performance, recipe execution, chamber health, and wafer-level traceability, and using ClickHouse, SQL, and Python
Write detailed specifications for new data pipelines to onboard additional metrology tools, sensors, or process data sources, collaborating with data engineering to ensure proper schema design, transformations, and quality checks within the AWS/Kafka/ClickHouse stack
Validate and reconcile data from disparate systems (MES, tool logs, recipe management, metrology platforms, yield databases) to ensure accurate linkage at the wafer, lot, run, and step level within the technical data warehouse
Develop reusable Python scripts and SQL queries for ad-hoc and recurring analyses such as DOE evaluation, process window characterization, virtual metrology exploration, and wafer-to-wafer or lot-to-lot comparisons
Work within established data governance and access controls to ensure accuracy, timeliness, and appropriate confidentiality of all engineering reports, dashboards, and experimental data
Create and maintain documentation for datasets, table schemas, KPIs, and pipeline logic—including data lineage, business definitions, and usage examples tailored to process contexts
Train and support application developers and data analysts in using the data warehouse, BI tools, and self-service dashboards; gather feedback to continuously improve data products and user experience
Collaborate with data scientists and ML engineers to operationalize predictive models by ensuring required features and labels are available, accurate, and well-documented in the warehouse
Create automated workflows for data ingestion, cleansing, and integration of large-scale process and metrology datasets, leveraging Python, ETL orchestration tools, and cloud services on AWS
Assess evolving reporting needs in the context of R&D priorities and technology roadmaps; propose and deliver appropriate solutions ranging from quick ad-hoc analyses to production-grade dashboards
Generate internal documentation, presentations, and technical reports summarizing experimental results, data quality assessments, and analytics insights for cross-functional stakeholders
Qualification
Required
Ability to translate engineering workflows and business needs into data requirements and specifications
Experience working directly with engineers, operations teams, or technical stakeholders
Solid documentation, communication, and stakeholder engagement skills
Experience designing and validating metrics, KPIs, and dashboards for operational or engineering environments
Strong proficiency in SQL and Python for data analysis, automation, and pipeline support
Experience with BI and visualization tools (Tableau, Power BI, Superset, Grafana, Looker, or similar)
Version control (Git), CI/CD for analytics, and data documentation tooling
Bachelor's degree in data science, computer science, engineering, or related field
4+ years of experience in data analysis, preferably within a high-tech or manufacturing environment
Demonstrated experience supporting business units with analytical solutions
Preferred
Strong attention to detail and organizational skills
Excellent communication skills for presenting complex findings to stakeholders
Ability to work independently and collaboratively in a fast-paced environment
Proactive approach to process improvement and automation
Software Development Process
JIRA, BitBucket
Benefits
Comprehensive benefits package
Participation in a bonus and a stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
Senior Vice President and Chief Technology Officer
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-23
2026-01-23
2026-01-22
Company data provided by crunchbase