Business Intelligence Jobs in USA with Visa Sponsorship
Business intelligence professionals are in growing demand as US companies invest heavily in data visualization, reporting infrastructure, and self-service analytics platforms. Proficiency in tools like Tableau, Power BI, Looker, and SQL positions candidates well for H-1B visa sponsorship, particularly when combined with a degree in computer science, statistics, or information systems. BI roles sit at the intersection of data engineering and analytics, giving sponsored candidates versatile career pathways. For detailed occupation requirements, see the O*NET profile.
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DESCRIPTION
Amazon is looking for a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.
The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.
In this cross-functional role, you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You will have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.
Key job responsibilities
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Estimate models, write analyses, and extract insights and provide business recommendations.
About the team
We serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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, TN, Nashville - 94,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually

DESCRIPTION
Amazon is looking for a Business Intelligence Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. As a Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. In this role, you will primarily work on designing and building automated reporting and dashboards using complex data. We are still in the nascent stage so it is an exciting opportunity to be involved from design-to-execution. As a BI Engineer, you will operate as a mix of hands-on builder and influencer.
The team’s success depends on our ability to create actionable insight from the data that we and our partners generate. The ideal BIE candidate will have excellent analytical abilities, business acumen, high judgment, strong technical skills, and good written and verbal communication skills. This person will be a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in data mining, be comfortable dealing with large and complex data sets, while applying analytical rigor to solve business problems.
In this cross-functional role, you will work closely with partners in Product Management, Training and Program Management to design and deliver data needs. You will have strong analytical and communication skills and be able to work with product managers and business development teams to define key business questions and build data sets and models that answer them.
Key job responsibilities
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Partner with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
- Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Estimate models, write analyses, and extract insights and provide business recommendations.
About the team
We serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with SQL
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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, TN, Nashville - 94,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
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Get Access To All JobsTips for Finding Business Intelligence Jobs
Position yourself as a BI engineer, not just an analyst
BI engineering roles that involve building data pipelines, designing ETL workflows, and developing dashboards carry stronger specialty occupation arguments than pure reporting positions. Emphasize your technical depth in tools like dbt, Airflow, or custom SQL transformations.
Build expertise in modern data warehouse platforms
Snowflake, Amazon Redshift, Google BigQuery, and Databricks are the platforms companies are investing in most heavily. Hands-on experience with at least one makes you harder to replace domestically and more attractive to sponsoring employers.
Target companies building internal BI teams
Mid-size and enterprise companies expanding their analytics capabilities often hire BI professionals aggressively. Look for companies posting multiple BI roles simultaneously - that signals a growing team with budget and willingness to invest in talent.
Differentiate with full-stack BI skills
Employers value BI professionals who can handle the full pipeline from data extraction and transformation to visualization in Tableau, Power BI, or Looker. This breadth makes the specialty occupation case clearer than a resume focused only on dashboard creation.
Align your SOC code to maximize H-1B approval odds
BI roles can fall under SOC 15-1252 (Software Developers) or 15-2051 (Data Scientists) depending on how the position is framed. Work with your employer's immigration attorney to select the classification that best matches your degree and job duties.
Business Intelligence jobs are hiring across the US. Find yours.
Find Business Intelligence JobsFrequently Asked Questions
Do certifications in Tableau, Power BI, or Looker help with visa sponsorship for BI roles?
BI tool certifications do not replace the bachelor's degree requirement for H-1B, but they serve as valuable supporting evidence that the role requires specialized technical knowledge. Certifications in Tableau, Microsoft Power BI, or Google Looker demonstrate that the position goes beyond basic reporting and involves expertise in data modeling, visualization best practices, and platform-specific development. Including these credentials in the petition documentation helps establish the specialized nature of the role.
How does a business intelligence role differ from a data analyst role for visa sponsorship purposes?
Both can qualify as H-1B specialty occupations, but BI roles tend to emphasize building reporting infrastructure, designing data models, and managing visualization platforms, while data analyst roles focus more on ad-hoc analysis and statistical interpretation. BI positions that involve significant technical development work, such as building enterprise dashboards or designing semantic layers, may present a stronger specialty occupation case than basic reporting-focused analyst roles.
Which industries are most active in sponsoring BI professionals?
Technology companies, financial institutions, healthcare systems, and large retail enterprises are the most active sponsors for BI professionals. Any organization investing in self-service analytics platforms or enterprise-wide reporting infrastructure needs BI specialists. Consulting firms like Deloitte, Accenture, and PwC also sponsor BI professionals for client-facing analytics engagements. The growing adoption of cloud-based BI tools has expanded demand across virtually every industry.
How to find Business Intelligence jobs with visa sponsorship?
To find Business Intelligence jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international professionals with sponsoring employers. Focus on tech companies, consulting firms, and large corporations that frequently hire BI analysts, data engineers, and reporting specialists. These employers typically offer H-1B, L-1, or other work visas for qualified candidates with experience in data visualization, SQL, and business analytics tools.
Is a computer science degree required for BI visa sponsorship, or do other STEM degrees qualify?
A computer science degree is not required. Degrees in information systems, statistics, mathematics, data science, or engineering are all commonly accepted for BI role petitions. The employer's job description should list your specific degree field among the qualifying disciplines and clearly connect the BI role's technical requirements to the knowledge gained from that academic background. Some employers also accept business degrees with a quantitative concentration, though this may face more USCIS scrutiny.
Can BI professionals qualify for the STEM OPT extension?
It depends on your degree's CIP code. Degrees in computer science, information systems, statistics, and data science typically qualify as STEM fields and are eligible for the 24-month STEM OPT extension. Some business analytics or management information systems programs also have STEM-designated CIP codes. Check with your university's international student office to confirm your program's classification, as this determines whether you get 12 or 36 total months of post-graduation work authorization.
What is the prevailing wage requirement for sponsored Business Intelligence jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage", the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level. For example, a business intelligence in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search Page.
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