H-1B Visa Director Of Data Analytics Jobs
Director of Data Analytics roles qualify as H-1B visa specialty occupations because they require a bachelor's degree or higher in statistics, computer science, or a related field. Large tech, finance, and healthcare employers file H-1B petitions for this title regularly, and the role's SOC code maps cleanly to prevailing wage Level III and IV determinations.
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Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Product Development Failure Analysis (PDFA) team plays a critical role in bringing next-generation High Bandwidth Memory (HBM) products from initial design through high-volume manufacturing. The team partners closely with Product, Process, Quality, and Test Engineering organizations to identify, analyze, and resolve product and process-related issues that impact yield, reliability, and overall product performance.
ROLE AND RESPONSIBILITIES
As an HBM Product Yield Enhancement PDFA Engineer, you will focus on product reliability and component-level failure analysis during new HBM product introductions. You will use electrical characterization, physical analysis techniques, statistical methodologies, and AI-enabled data analysis tools to identify failure mechanisms and drive rapid production ramp. This role requires strong analytical skills, multi-functional collaboration, and the ability to translate complex data into actionable engineering solutions.
- Perform electrical, physical, and statistical failure analysis to identify and understand component failure mechanisms.
- Analyze characterization and manufacturing data to determine root causes of fabrication, assembly, and test-related failures.
- Collaborate with Product, Process, Quality, and Test Engineering teams to resolve yield, reliability, and process defect issues.
- Leverage AI-enabled tools and statistical methods to evaluate large datasets, identify trends, and improve component performance.
- Communicate findings, corrective actions, and risk assessments to multi-functional partners to support successful product qualification and production ramp.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related technical field, or equivalent experience.
- Experience or coursework in semiconductor device physics, semiconductor manufacturing processes, or VLSI design.
- Demonstrated knowledge of statistical analysis techniques and data-driven problem solving.
- Experience using Python or similar programming languages for data analysis and engineering applications.
- Ability to analyze complex technical data and communicate findings effectively in a collaborative engineering environment.
PREFERRED QUALIFICATIONS
- Master's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- Academic or industry experience in semiconductor failure analysis, yield enhancement, reliability engineering, or product characterization.
- Experience applying AI, Generative AI, or AI-assisted analytical tools to support engineering investigations and data analysis.
- Knowledge of test methodologies, process integration, and advanced memory technologies, including HBM products.
- Experience working with large datasets and applying statistical software or machine learning techniques to identify failure trends and process improvements.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
INTRODUCTION
Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Product Development Failure Analysis (PDFA) team plays a critical role in bringing next-generation High Bandwidth Memory (HBM) products from initial design through high-volume manufacturing. The team partners closely with Product, Process, Quality, and Test Engineering organizations to identify, analyze, and resolve product and process-related issues that impact yield, reliability, and overall product performance.
ROLE AND RESPONSIBILITIES
As an HBM Product Yield Enhancement PDFA Engineer, you will focus on product reliability and component-level failure analysis during new HBM product introductions. You will use electrical characterization, physical analysis techniques, statistical methodologies, and AI-enabled data analysis tools to identify failure mechanisms and drive rapid production ramp. This role requires strong analytical skills, multi-functional collaboration, and the ability to translate complex data into actionable engineering solutions.
- Perform electrical, physical, and statistical failure analysis to identify and understand component failure mechanisms.
- Analyze characterization and manufacturing data to determine root causes of fabrication, assembly, and test-related failures.
- Collaborate with Product, Process, Quality, and Test Engineering teams to resolve yield, reliability, and process defect issues.
- Leverage AI-enabled tools and statistical methods to evaluate large datasets, identify trends, and improve component performance.
- Communicate findings, corrective actions, and risk assessments to multi-functional partners to support successful product qualification and production ramp.
MINIMUM QUALIFICATIONS
- Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related technical field, or equivalent experience.
- Experience or coursework in semiconductor device physics, semiconductor manufacturing processes, or VLSI design.
- Demonstrated knowledge of statistical analysis techniques and data-driven problem solving.
- Experience using Python or similar programming languages for data analysis and engineering applications.
- Ability to analyze complex technical data and communicate findings effectively in a collaborative engineering environment.
PREFERRED QUALIFICATIONS
- Master's degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- Academic or industry experience in semiconductor failure analysis, yield enhancement, reliability engineering, or product characterization.
- Experience applying AI, Generative AI, or AI-assisted analytical tools to support engineering investigations and data analysis.
- Knowledge of test methodologies, process integration, and advanced memory technologies, including HBM products.
- Experience working with large datasets and applying statistical software or machine learning techniques to identify failure trends and process improvements.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn more about Micron, please visit micron.com/careers
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Micron Foundation
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it’s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.
Sustainability
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.
See all 390+ H-1B Visa Director Of Data Analytics Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Director Of Data Analytics Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Director Of Data Analytics
Verify your degree maps to the role
USCIS requires your degree field to directly relate to data analytics leadership. A degree in statistics, information systems, or applied mathematics strengthens the specialty occupation argument more than a general business degree paired with work experience alone.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your specific SOC code and metro area before accepting an offer. Director-level data roles often land at wage Level III or IV, and accepting a below-prevailing offer means your employer's LCA will be flagged during DOL review.
Target employers with analytics leadership pipelines
Search Migrate Mate for companies with repeated H-1B LCA filings under data analytics job titles. Employers who've sponsored this role before have established internal processes, reducing the risk of delays caused by HR unfamiliarity with the petition workflow.
Request cap-exempt filing if your employer qualifies
Universities, affiliated nonprofits, and certain research institutions are cap-exempt, meaning your petition bypasses the annual lottery entirely. If you're considering academia-adjacent analytics roles, confirm the employer's cap-exempt status with USCIS before counting on lottery selection.
Document your managerial scope for the I-129
For Director-level petitions, your employer's I-129 support letter should detail the number of direct reports, budget authority, and cross-functional influence. Thin organizational evidence is a common RFE trigger for analytics leadership roles where the title can mask individual contributor work.
File for premium processing if your start date is firm
Standard H-1B processing can run several months. Premium processing guarantees a USCIS decision within 15 business days for an additional fee. For Director roles with defined onboarding timelines, this removes the risk of a delayed petition disrupting the hiring plan.
H-1B Visa Director Of Data Analytics: Frequently Asked Questions
Does a Director of Data Analytics role qualify as an H-1B specialty occupation?
Yes. USCIS classifies Director of Data Analytics as a specialty occupation because the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, or information systems. The O*NET profile for this occupation confirms the degree requirement, which is the foundation of the specialty occupation determination.
How do I find employers who sponsor H-1B visas for this role?
Use Migrate Mate to filter for companies with verified H-1B LCA filing history under data analytics and analytics leadership job titles. DOL LCA disclosure data shows which employers have sponsored this specific role, so you can prioritize outreach to companies that already have an established sponsorship process rather than educating hiring managers from scratch.
What prevailing wage level applies to a Director of Data Analytics?
Director of Data Analytics positions typically fall at wage Level III or Level IV under DOL prevailing wage determinations, which correspond to experienced and fully competent workers in that occupation and geography. Use the OFLC Wage Search to look up the exact prevailing wage for your SOC code and metro area before evaluating any offer.
Can my H-1B petition be denied even if the employer has sponsored others before?
Yes. USCIS evaluates each petition individually. For Director-level analytics roles, RFEs often target whether the position genuinely requires a specific degree rather than broad experience. Your employer's support letter needs to clearly articulate the specialized theoretical knowledge required, not just list technical tools or general leadership duties.
What happens to my H-1B status if I'm laid off from a Director of Data Analytics position?
You have a 60-day grace period from your last day of employment to find a new H-1B employer, change to another visa status, or depart the U.S. During this window, a new employer can file an H-1B transfer petition on your behalf. The 60-day period applies once per authorized validity period, per USCIS rules.