Business Intelligence Analyst
$140,500 - $193,000 USD yearly
Originally posted 18 June 2026 by the employer. Relisted by the employer on 6 November 2026.
About the role
The Business Intelligence Analyst partners with process engineers and integration teams to translate wafer experiment workflows and yield-learning objectives into actionable data requirements, metrics, and analytical dashboards. The role focuses on tracking process tool performance, recipe execution, chamber health, and wafer-level traceability across etch, deposition, and metrology environments.
What you'll do
- Design, develop, and maintain metrics, dashboards, and analytical reports using ClickHouse, SQL, and Python to monitor process tool performance, recipe execution, chamber health, and wafer-level traceability.
- Partner with process engineers and integration teams to understand wafer experiment workflows and translate experimental and yield-learning objectives into data and reporting specifications.
- Write technical specifications for data pipelines onboarding metrology tools, sensors, or process data, collaborating with data engineering on schema design within the AWS/Kafka/ClickHouse stack.
- Validate and reconcile data across MES, tool logs, recipe management, metrology platforms, and yield databases to ensure accurate linkage at the wafer, lot, run, and step levels.
- Develop reusable Python scripts and SQL queries for ad-hoc and recurring analyses, including DOE evaluation, process window characterization, virtual metrology exploration, and lot-to-lot comparisons.
- Create automated workflows for data ingestion, cleansing, and integration of large-scale process and metrology datasets leveraging Python, ETL orchestration tools, and AWS cloud services.
What you'll need
- Bachelor’s degree in data science, computer science, engineering, or a related field.
- 4+ years of experience in data analysis, preferably within a high-tech or manufacturing environment.
- 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 using BI and visualization tools such as Tableau, Power BI, Superset, Grafana, or Looker.
- Experience with version control (Git), CI/CD for analytics, and data documentation tooling.
- Demonstrated experience translating engineering workflows and business needs into data requirements and working directly with technical stakeholders.
Skills: wafer experiment workflows, process tool performance, data pipelines, MES, tool logs, metrology platforms
More semiconductor jobs: Applied Materials jobs · Manufacturing jobs · Santa Clara jobs
This role has been open 161 days — well above the 56-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Manufacturing Equipment
|
Open roles in category
2409
|
Median days open
56 d
|
Category median salary (all employers)
$100k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Applied Materials | All employers we track in this specialty (2409 roles · 78 employers) |
|---|---|---|
| Open roles in this specialty | 254 | 2409 |
| Open roles in the wider Process, Fab & Equipment family | 1154 | 10115 · 117 employers |
| Median days open | 40 d | 56 d (−16 d vs this employer) |
| Median salary (USD postings) | — | $100k |
Skills observed across this category: wafer experiment workflows, process tool performance, data pipelines, MES, tool logs, metrology platforms
Who's hiring in this category
- Micron Technology · 320 open roles · median 73 d
- Applied Materials (this employer) · 260 open roles · median 42 d
- Entegris · 203 open roles · median 55 d
- Lam Research · 105 open roles · median 77 d
- Infineon Technologies · 97 open roles · median 43 d
- ASML · 69 open roles · median 58 d
How we counted: 2409 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 78 employers tracked in the SemiconductorJobs index, counted 6 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.