Green Card Business Intelligence Intern Jobs
Business Intelligence Intern roles can qualify for EB-2 or EB-3 green card sponsorship through PERM labor certification when the position requires a bachelor's degree in a quantitative field. Employers document recruitment efforts, file with DOL, then petition USCIS. Start your sponsorship search with the right targeting strategy.
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We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.
Key job responsibilities
- Design and build AI tools that derive actionable insights from some of the world’s largest datasets
- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
A day in the life
Your day will be a blend of technical investigation and collaborative problem-solving. You'll dive deep into the problems our stakeholders are facing, and design tech solutions to solve them. You will teach your teammates how to better use the latest technologies such as AI, both in their internal processes and outwardly with their stakeholder-facing products.
When stakeholders come to you with problems, you will be expected to find a sustainable solution that prevents the problems from surfacing again.
You will turn complex input metrics into actionable insights that drive high-impact business outcomes. Expect to engage in cross-functional discussions, influence executive leadership, and develop strategies to enhance org-wide AI effectiveness.
About the team
We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success.
BASIC QUALIFICATIONS
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- Experience creating AI-based tools that are used by non-technical stakeholders at an executive level
- Experience managing, analyzing and communicating results to executive leadership
- Experience processing large, multi-dimensional datasets from multiple sources
- Experience in the data/BI space
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with AWS technologies
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience developing automated reporting
- Statistical analysis experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, AZ, Tempe - 130,400.00 - 176,300.00 USD annually
USA, TN, Nashville - 123,800.00 - 167,500.00 USD annually
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually
DESCRIPTION
We are looking for a Senior Business Intelligence Engineer (BIE) to drive the use of AI in analytics with high exposure to executive level business decision making support. In this role you will define and implement scalable processes, diving deep into the product and program metrics globally across multiple business units. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment.
Key job responsibilities
- Design and build AI tools that derive actionable insights from some of the world’s largest datasets
- Own the design and development of automated solutions for recurrent reporting and in-depth analyses including learning, publishing, and managing our operational business metrics decks
- Drive continuous improvement of our analytical processes by automating, scaling, and simplifying self-service support for our customers
- Invent new ways to explore our data and work with Product Managers to identify opportunities and transform business problems into defined data and reporting requirements
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
A day in the life
Your day will be a blend of technical investigation and collaborative problem-solving. You'll dive deep into the problems our stakeholders are facing, and design tech solutions to solve them. You will teach your teammates how to better use the latest technologies such as AI, both in their internal processes and outwardly with their stakeholder-facing products.
When stakeholders come to you with problems, you will be expected to find a sustainable solution that prevents the problems from surfacing again.
You will turn complex input metrics into actionable insights that drive high-impact business outcomes. Expect to engage in cross-functional discussions, influence executive leadership, and develop strategies to enhance org-wide AI effectiveness.
About the team
We are a collaborative group of technology and business experts dedicated to pushing the boundaries of AI performance optimization. Our team thrives on innovation, continuous learning, and creating transformative solutions that make a tangible impact across various business domains. We value diverse perspectives and empower team members to contribute unique insights that drive our collective success.
BASIC QUALIFICATIONS
- 5+ years of as a Data Analyst, Data Engineer, Business Intelligence Analyst, or a related occupation experience
- Experience creating AI-based tools that are used by non-technical stakeholders at an executive level
- Experience managing, analyzing and communicating results to executive leadership
- Experience processing large, multi-dimensional datasets from multiple sources
- Experience in the data/BI space
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with AWS technologies
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Master's degree in statistics, data science, or an equivalent quantitative field
- Experience developing automated reporting
- Statistical analysis experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, AZ, Tempe - 130,400.00 - 176,300.00 USD annually
USA, TN, Nashville - 123,800.00 - 167,500.00 USD annually
USA, TX, Austin - 130,400.00 - 176,300.00 USD annually
USA, VA, Arlington - 130,400.00 - 176,300.00 USD annually
USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Business Intelligence Intern
Align your degree to BI job requirements
PERM requires the employer to prove the role has a specific degree requirement. A bachelor's in data science, statistics, or information systems ties your credentials directly to the job duties DOL reviews during labor certification.
Target employers with active PERM filings
Not every company sponsors interns for permanent residency. Search OFLC disclosure data for employers who have filed PERM applications for analyst or BI titles, then prioritize those firms in your outreach.
Use Migrate Mate to find sponsoring employers
Filter by green card sponsorship history before applying. Migrate Mate surfaces employers with verified PERM filing records for BI and data roles, saving you from targeting companies that have never sponsored permanent residency.
Confirm the role's specialty occupation classification
Pull the O*NET profile for business intelligence analysts to see how DOL classifies the occupation. Roles coded as requiring specialized knowledge and a relevant degree carry stronger PERM cases than broadly defined internship titles.
Clarify green card intent before accepting an offer
Ask during the offer stage whether the employer sponsors PERM for intern-to-full-time conversions. Many companies sponsor full-time hires but won't initiate labor certification for a temporary intern position.
Document your work authorization timeline early
PERM adjudication alone averages over a year at DOL, before USCIS even touches the I-140. Starting the conversation about sponsorship at hiring, not six months in, keeps the process on track relative to your current status expiration.
Green Card Business Intelligence Intern: Frequently Asked Questions
Can a Business Intelligence Intern position qualify for EB-2 or EB-3 green card sponsorship?
Yes, if the employer defines the role as requiring a bachelor's degree or higher in a specific field such as data science, statistics, or computer science. EB-3 covers professionals with a four-year degree, while EB-2 applies when the position requires an advanced degree or the candidate has equivalent specialized credentials. The job description must consistently reflect that degree requirement throughout PERM.
How does green card sponsorship through PERM differ from H-1B sponsorship for this role?
PERM leads to permanent residency rather than a temporary work visa. There is no annual lottery at the EB-3 level and no cap on the number of PERM applications filed per year. The trade-off is time: DOL labor certification currently runs over a year before USCIS adjudicates the I-140. H-1B visa is faster to status but expires and requires renewal, while a green card is permanent once approved.
Which employers actually sponsor green cards for BI intern roles?
Technology companies, financial institutions, healthcare systems, and large consulting firms with established immigration programs are the most consistent PERM sponsors for data and analytics roles. Migrate Mate lets you filter job listings by verified green card sponsorship history, so you can focus applications on employers who have completed PERM filings for similar titles rather than asking cold.
Does the prevailing wage requirement affect my chances as an intern candidate?
Employers must pay at least the DOL prevailing wage for the occupation and location, determined through the OFLC Wage Search before filing PERM. For intern-level BI roles, the wage floor is set at the entry level for the relevant SOC code. If a company structures the role as a short-term internship with below-market pay, they may avoid initiating PERM entirely rather than commit to the prevailing wage obligation.
What should I ask a potential employer about their PERM process during interviews?
Ask whether the company has sponsored PERM for full-time conversions from intern positions, how long the process typically takes internally, and whether they work with immigration counsel. You want to confirm the employer has a documented process, not just a vague willingness to sponsor. Companies experienced with PERM filings for BI or data roles will have clear answers about timelines and the recruitment documentation DOL requires.