STEM OPT Business Intelligence Analyst Jobs
Business Intelligence Analyst roles sit squarely within STEM OPT eligibility, drawing on degrees in computer science, information systems, statistics, and related fields. Your 24-month STEM OPT extension applies here, giving you up to 36 months total to work for an E-Verify-enrolled employer while building the filing history that strengthens your long-term visa path.
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Get Access To All JobsJob Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
Job Title: Junior AI Engineer
Location: Remote
Job Type: Full-Time
Experience: 0–3 Years
Employment Type: Full-Time
Work Authorization: Must be authorized to work in the United States.
Job Summary
We are seeking a motivated and enthusiastic Junior AI Engineer to join our engineering team. The ideal candidate will assist in designing, developing, testing, and implementing Artificial Intelligence and Machine Learning solutions. This position is ideal for recent graduates and early-career professionals with a strong foundation in Python programming, Machine Learning, data analysis, and AI technologies. The candidate will have opportunities to work on real-world AI applications and collaborate with experienced engineers.
Key Responsibilities
- Assist in developing and implementing AI and Machine Learning models.
- Design, build, test, and maintain AI-powered applications.
- Develop Python-based solutions for data processing and automation.
- Collect, clean, preprocess, and analyze structured and unstructured datasets.
- Support the development of Generative AI applications and LLM-based solutions.
- Implement machine learning algorithms for classification, regression, and prediction.
- Perform model training, testing, validation, and performance evaluation.
- Work with APIs to integrate AI models into applications.
- Collaborate with software developers, data scientists, and cross-functional teams.
- Troubleshoot technical issues and optimize model performance.
- Maintain technical documentation and contribute to project development.
Required Qualifications
- Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.
- 0–3 years of experience in AI, Machine Learning, or software development.
- Strong knowledge of Python programming.
- Understanding of Machine Learning algorithms and concepts.
- Familiarity with NumPy, Pandas, and Scikit-learn.
- Basic knowledge of TensorFlow or PyTorch.
- Understanding of SQL and relational databases.
- Knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Good written and verbal communication skills.
Preferred Qualifications
- Knowledge of Generative AI, Large Language Models (LLMs), and Prompt Engineering.
- Familiarity with OpenAI APIs or other AI APIs.
- Basic understanding of Natural Language Processing (NLP).
- Knowledge of Deep Learning and Neural Networks.
- Familiarity with REST APIs and microservices.
- Exposure to AWS, Microsoft Azure, or Google Cloud Platform.
- Experience using Git, GitHub, Docker, and Jupyter Notebook.
- Internship experience or academic projects in AI/ML is a plus.
Technical Skills
- Programming Languages: Python
- AI/ML: Machine Learning, Deep Learning, Generative AI
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Libraries: NumPy, Pandas, Matplotlib
- Database: SQL, MySQL, PostgreSQL
- AI Technologies: NLP, LLMs, Prompt Engineering
- Tools: Git, GitHub, Jupyter Notebook, Docker
- Cloud Platforms: AWS, Azure, GCP
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or an equivalent technical discipline.
What We Offer
- Opportunity to work on real-world AI and Machine Learning projects.
- Hands-on experience with emerging AI technologies.
- Collaborative and innovative work environment.
- Opportunities for professional development and career growth.
- Exposure to Generative AI and cloud-based technologies.
See all 474+ STEM OPT Business Intelligence Analyst Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Business Intelligence Analyst
Verify your CIP code before applying
Pull your degree's Classification of Instructional Programs code from your transcript or DSO and cross-reference it against STEM-designated fields on the DHS STEM list. Business intelligence roles most commonly align with CIP codes under computer science, information science, or statistics.
Filter job postings by E-Verify status
Before submitting any application, confirm the employer is actively enrolled in E-Verify, not just registered. Search the E-Verify employer search tool by company name to check current participation status. An expired or inactive enrollment disqualifies them as a STEM OPT employer.
Target employers with LCA filings in analytics roles
Use the OFLC Wage Search to identify companies that have filed Labor Condition Applications for data analyst or business intelligence titles. Consistent LCA history in these SOC codes signals an employer already understands STEM worker authorization and prevailing wage obligations.
Build your I-983 training plan around BI deliverables
Your I-983 must connect your STEM degree to concrete on-the-job learning goals. Map training objectives to specific BI outputs: dashboard development, ETL pipeline ownership, SQL query optimization, or predictive modeling projects that tie directly to your degree's coursework.
Use Migrate Mate to find BI roles at verified sponsors
Search Migrate Mate for Business Intelligence Analyst positions filtered to employers with active E-Verify enrollment and DOL filing history in analytics occupations. This cuts the research time spent manually cross-checking sponsorship eligibility for each application.
Negotiate your offer start date around OPT timing
If your initial 12-month OPT expires before your STEM extension is approved, cap-gap protection keeps you authorized through October 1 only if an H-1B visa petition was timely filed. Align your offer letter start date with your DSO's recommended filing window to avoid authorization gaps.
Frequently Asked Questions
Does a Business Intelligence Analyst role qualify for the STEM OPT extension?
Yes, if your degree falls under a STEM-designated CIP code and the role directly applies that field of study. Degrees in computer science, information systems, statistics, and mathematics commonly support BI analyst positions. Your DSO confirms eligibility based on your specific degree program and CIP code, not the job title alone.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the worksite where you perform your duties. Enrollment at headquarters does not automatically cover remote or satellite locations. Confirm site-level E-Verify status before signing your offer, because working for a non-enrolled employer invalidates your STEM OPT authorization and puts your F-1 status at risk.
How do I find Business Intelligence Analyst jobs with employers who sponsor STEM OPT?
Migrate Mate surfaces Business Intelligence Analyst openings filtered to employers with E-Verify enrollment and documented DOL Labor Condition Application filings in analytics-related occupations. This lets you focus applications on companies already familiar with STEM OPT obligations rather than spending hours cross-checking each employer's sponsorship history manually.
What goes into the I-983 training plan for a BI analyst position?
The I-983 training plan must identify specific learning objectives tied to your STEM degree and describe how your daily work advances those goals. For a BI analyst, that means listing concrete activities like building data pipelines, developing executive dashboards, or applying statistical modeling, and explaining how each connects to your degree's curriculum. Your employer supervisor co-signs the plan and USCIS requires it on file before your extension begins.
What happens to my work authorization if my H-1B petition is filed while I'm on STEM OPT?
If your employer files a timely H-1B cap-subject petition before your STEM OPT expires, cap-gap protection automatically extends your work authorization through September 30 of that fiscal year, or through October 1 if the petition is selected and approved. You must remain continuously employed by the same E-Verify-enrolled employer throughout the cap-gap period, and your EAD must still show a valid unexpired date when the petition is filed.