H-1B1 Singapore Visa Business Intelligence Analyst Jobs
Business Intelligence Analyst roles qualify for H-1B1 Singapore visa sponsorship because they meet the specialty occupation standard, requiring a bachelor's degree or higher in a directly related field. No lottery, no USCIS petition filing, and the 5,400-visa annual cap has never been exhausted, so your application moves on your timeline, not a random selection date.
Find H-1B1 Singapore Visa Business Intelligence Analyst JobsOverview
Showing 5 of 104+ Business Intelligence Analyst jobs
See all 104+ Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence Analyst roles.
Get Access To All JobsWho We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary:
$140,500.00 - $193,000.00
Location:
Santa Clara,CA
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
Key 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.
Required Skills and Knowledge
- 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.
Qualifications
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 Attributes
- 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
Functional Knowledge
Demonstrates depth and/or breadth of expertise in own specialized discipline or field.
Business Expertise
Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
Leadership
May lead functional teams or projects with moderate resource requirements, risk, and/or complexity.
Problem Solving
Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
Impact
Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies.
Interpersonal Skills
Communicates difficult concepts and negotiates with others to adopt a different point of view.
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 10% of the Time
Relocation Eligible:
No
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
Who We Are
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
What We Offer
Salary:
$140,500.00 - $193,000.00
Location:
Santa Clara,CA
You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go.
Key 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.
Required Skills and Knowledge
- 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.
Qualifications
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 Attributes
- 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
Functional Knowledge
Demonstrates depth and/or breadth of expertise in own specialized discipline or field.
Business Expertise
Interprets internal/external business challenges and recommends best practices to improve products, processes or services.
Leadership
May lead functional teams or projects with moderate resource requirements, risk, and/or complexity.
Problem Solving
Leads others to solve complex problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions.
Impact
Impacts the achievement of customer, operational, project or service objectives; work is guided by functional policies.
Interpersonal Skills
Communicates difficult concepts and negotiates with others to adopt a different point of view.
Additional Information
Time Type:
Full time
Employee Type:
Assignee / Regular
Travel:
Yes, 10% of the Time
Relocation Eligible:
No
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
See all 104+ H-1B1 Singapore Visa Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Business Intelligence Analyst Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Analyst
Map your degree to the SOC code
BI Analyst roles typically file under SOC 15-1211 or 15-2051. Pull the O*NET profile for your target code before applying so you can frame your degree and experience against the exact specialty occupation criteria employers use in their LCA filings.
Check prevailing wage tiers before negotiating
Your offer must meet the DOL wage level for your job zone and metro area. Run the OFLC Wage Search for your target city before accepting any offer so you know whether the role is Level I through IV and can negotiate from an informed position.
Search verified H-1B1 Singapore sponsorship employers on Migrate Mate
Filter your job search by employers with confirmed H-1B1 Singapore filing history using Migrate Mate. This surfaces companies that have already cleared LCA certification for BI roles, cutting out the guesswork of cold-applying to firms unfamiliar with the visa.
Target employers already certified under E-Verify
E-Verify enrollment is common among large tech, finance, and consulting firms that routinely sponsor international hires. Prioritizing E-Verify-enrolled employers shortens your onboarding timeline because federal contractor status often means existing HR infrastructure for H-1B1 visa filings.
Request the LCA before your consulate appointment
Unlike H-1B visa, H-1B1 Singapore processing happens at the U.S. Embassy in Singapore, not through USCIS. Ask your employer to share the certified LCA and offer letter at least two weeks before your appointment so you can verify wage level, job title, and worksite details yourself.
Prepare a portfolio of quantified BI deliverables
Consular officers assess specialty occupation by reviewing your actual work, not just your title. Bring documentation of dashboards, data models, or analytical projects with clear business outcomes. This directly supports the claim that your role requires specialized degree-level expertise.
Frequently Asked Questions
Does a Business Intelligence Analyst role qualify as a specialty occupation for H-1B1 Singapore?
Yes. BI Analyst positions require at least a bachelor's degree in a directly related field such as computer science, statistics, information systems, or business analytics, which meets the specialty occupation definition. The DOL's LCA certification process confirms this classification before your consulate appointment, and the O*NET profile for the role supports the degree requirement.
How does the H-1B1 Singapore visa compare to H-1B for BI Analyst roles?
The H-1B1 Singapore has no lottery, no USCIS petition, and a dedicated annual cap of 5,400 visas that has never been fully used. For BI Analysts, this means you can apply any time of year through the U.S. Embassy in Singapore rather than waiting for an April registration window. The tradeoff is that H-1B1 Singapore does not allow dual intent, so it cannot be used as a direct stepping stone to a green card the way H-1B can.
Where can I find employers who actively sponsor H-1B1 Singapore visas for BI Analyst jobs?
Migrate Mate filters job listings by employers with verified H-1B1 Singapore filing history, so you're applying to companies that have already navigated the LCA certification process for data and analytics roles. This is more reliable than guessing from a general job board, where most postings don't disclose visa sponsorship status at all.
What documents does my employer need to prepare for the H-1B1 Singapore filing process?
Your employer files a Labor Condition Application with DOL, which certifies that your offered wage meets the prevailing wage for your role and metro area. Once DOL certifies the LCA, you use it alongside your DS-160, appointment confirmation, and supporting credentials at the U.S. Embassy in Singapore. USCIS is not involved in H-1B1 Singapore processing.
Can I switch BI Analyst employers while on H-1B1 Singapore status in the U.S.?
Yes, but you cannot port to a new employer the way H-1B holders can under AC21 portability rules. Your new employer must file a fresh LCA, and you'll likely need to return to Singapore to obtain a new H-1B1 visa stamp at the consulate before re-entering, since the visa is tied to the specific employer listed in the original filing. Plan for that gap when evaluating a job change.