STEM OPT Data Analytics Lead Jobs
Data Analytics Lead roles qualify for STEM OPT when your degree falls under an approved CIP code in statistics, computer science, or a related quantitative field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build leadership experience while pursuing long-term sponsorship.
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Get Access To All JobsINTRODUCTION
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.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
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.
Micron in Boise, Idaho has an opening for a HBM Product Yield Enhancement PDFA Engineer where you will work on the Product Development Failure Analysis team to take next generation HBM devices from design to mass production! This role can be entry level with a Master's Degree or equivalent experience, Senior level, or Staff level.
As part of the HBM Product Development Failure Analysis (PDFA) team, you will play a meaningful role in bringing next-generation HBM products from design through qualification and into high production manufacturing. The team focuses on ensuring product reliability, accelerating time-to-market, and enabling rapid production ramp by identifying and resolving component-level failures during new product introduction phases.
In this role, you will apply electrical, physical, and statistical failure analysis techniques to characterize failures, identify root causes, and drive corrective actions. You will collaborate with multi-functional engineering teams and leverage advanced analytics, statistical methods, and AI-enabled tools to improve failure detection, yield, reliability, and overall product performance.
JOB RESPONSIBILITIES
- Perform electrical, physical, and statistical failure analysis to identify, characterize, and understand defect and failure mechanisms in HBM products.
- Analyze component- and system-level data to resolve root causes of failures using statistical techniques, engineering methodologies, and AI-enabled tools.
- Apply AI tools (e.g., Copilot, Claude) and improved analytics to enhance failure detection, reliability learning cycles, yield improvement, and component performance.
- Work closely with Product, Process, Test, Quality, and Manufacturing Engineering teams to resolve fabrication, assembly, and test-related issues.
- Identify process defects, assembly-related failures, and test flow marginalities through detailed data analysis and characterization.
- Communicate technical findings, recommendations, and corrective actions to team members and drive issue resolution across multi-functional teams.
- Support rapid production ramp, product qualification, and continuous reliability improvement initiatives.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, Materials Science, or a related field.
- 2+ years of experience performing electrical and statistical failure analysis to identify and understand failure mechanisms.
- 2+ years of experience applying electrical and physical characterization techniques for semiconductor failure analysis.
- Demonstrated analytical and problem-solving skills, including the application of statistical methods and tools for data analysis.
- Experience using AI, machine learning, or data analytics tools to support engineering analysis and root cause investigations.
- Coursework, training, or practical experience in one or more of the following areas: VLSI, semiconductor device physics, semiconductor processing, Python programming, and statistics.
- Strong written and verbal communication skills with the ability to collaborate effectively in multi-functional engineering teams.
PREFERRED QUALIFICATIONS
- 7+ years of experience performing electrical and statistical failure analysis in the semiconductor industry.
- 7+ years of experience applying electrical and physical characterization techniques for semiconductor device and component analysis.
- Advanced coursework or hands-on experience in VLSI design, semiconductor processes, device physics, Python, and applied statistics.
- Experience using Artificial Intelligence or Generative AI tools (e.g., Copilot, Claude) for large-scale data analysis, failure prediction, and root cause identification.
- Experience using statistical analysis software such as JMP.
- Confirmed ability to influence technical outcomes and drive issue resolution in a multidisciplinary engineering environment.
- Proven ability to communicate complex technical findings to diverse team members and lead multi-functional collaboration efforts.
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 541+ STEM OPT Data Analytics Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Analytics Lead Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization in Data Analytics Lead
Verify your CIP code before applying
Cross-reference your degree's Classification of Instructional Programs code against the DHS STEM OPT designated degree list. Analytics and data science degrees sometimes carry CIP codes that fall outside the approved list, which disqualifies the extension entirely.
Confirm E-Verify enrollment before negotiating offers
An employer can want to hire you and still be unable to sign your I-983 if they aren't enrolled in E-Verify. Check the E-Verify employer search tool before you reach the offer stage to avoid last-minute delays.
Build your I-983 training plan around measurable analytics goals
USCIS requires your training plan to connect your degree to specific on-the-job learning. For a Data Analytics Lead role, tie each learning objective to a technical skill like predictive modeling, data pipeline architecture, or stakeholder reporting, not just job duties.
Target employers with active LCA filings in analytics
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data and analytics roles. Employers with recent LCA activity in your occupation already understand sponsorship obligations and are more likely to extend H-1B visa sponsorship after your OPT period ends.
Use Migrate Mate to filter for E-Verify employers
Search Data Analytics Lead roles on Migrate Mate to surface employers already enrolled in E-Verify and screened for STEM OPT eligibility. This cuts the manual verification step and lets you focus your outreach on companies ready to onboard OPT students directly.
Negotiate your start date around the 90-day reporting window
STEM OPT requires your DSO to report your employer and start date to SEVIS within ten days of you beginning work. Align your offer letter start date with your DSO's processing timeline so your authorization is active before your first day.
Frequently Asked Questions
Does a Data Analytics Lead role qualify for the STEM OPT extension?
It depends on both your degree and the role's classification. Your degree must carry an approved CIP code on the DHS STEM designated degree list, typically in computer science, statistics, mathematics, or information systems. The Data Analytics Lead role itself must involve applying that STEM knowledge directly. O*NET can help you confirm the occupation's technical requirements align with your field of study.
What does my employer need to do before I can start on STEM OPT?
Your employer must be enrolled in E-Verify before you begin work. They also need to sign the I-983 training plan alongside your DSO, documenting how the Data Analytics Lead role connects to your STEM degree. Employers who have never hired an OPT student before sometimes underestimate the lead time for E-Verify enrollment, so confirm their status during the offer negotiation stage, not after you've accepted.
How does the I-983 training plan apply to a Data Analytics Lead position?
The I-983 requires your employer to outline specific learning objectives tied to your degree field. For a Data Analytics Lead role, that means documenting training in areas like advanced statistical modeling, data infrastructure management, or cross-functional analytics strategy. Generic job descriptions don't satisfy the requirement. Both you and a company official must sign the plan, and your DSO keeps a copy on file.
What happens to my STEM OPT authorization if my H-1B is selected in the lottery but not yet effective?
If your employer files an H-1B petition on your behalf before your OPT expires, cap-gap protection extends your work authorization through September 30 of that fiscal year. If your petition is selected and approved, your H-1B status takes effect October 1. USCIS issues updated I-20 documentation through your DSO to reflect the cap-gap extension period. You can continue working in your Data Analytics Lead role without interruption during this window.
Where can I find Data Analytics Lead jobs that are already set up for STEM OPT students?
Migrate Mate filters Data Analytics Lead roles by employers enrolled in E-Verify and screened for STEM OPT compatibility, so you're not manually cross-checking each company's enrollment status. This matters at the lead level because senior analytics roles sometimes sit inside subsidiaries or contracting firms with different E-Verify enrollment status than the parent brand you recognize.