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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Help Us Build the Data Centers That Power the Cloud.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who build the data centers and keep the cloud running. Every AWS data center, and every server, storage system, network, power, and cooling unit inside it, starts with our work, so customers can count on the innovations they rely on, every second of every day. We tackle some of the toughest problems in the industry, with thousands of variables shaping the supply chain, and we want talented people who are excited to solve them with us.
You’ll join a diverse team of technical program managers, design engineers, construction managers, network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.
The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon — this role is for you!
Key job responsibilities
- Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
- Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
- Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
- Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
- Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
- Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
- Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
- Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
- Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
- Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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
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, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
Help Us Build the Data Centers That Power the Cloud.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We're the people who build the data centers and keep the cloud running. Every AWS data center, and every server, storage system, network, power, and cooling unit inside it, starts with our work, so customers can count on the innovations they rely on, every second of every day. We tackle some of the toughest problems in the industry, with thousands of variables shaping the supply chain, and we want talented people who are excited to solve them with us.
You’ll join a diverse team of technical program managers, design engineers, construction managers, network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Data-driven decision-making is at the core of Amazon's culture, and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the ML Capacity Delivery organization and our customers. You will gather customer needs and insights, mine large and diverse data sets from across AWS Infrastructure, build visualizations and tools for our business partners, and generate insights to help senior leaders make critical business decisions. The successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but will also interact directly with business leaders and teams that rely on the metrics and analyses they produce.
The ideal candidate must be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail), and enjoy working in a fast-paced, dynamic environment. If you are excited about data, are results-oriented, and want to join a growing analytics team within Amazon — this role is for you!
Key job responsibilities
- Set the baseline. Partner with business customers and leadership to define, track, and report KPIs against annual, quarterly, and monthly goals.
- Turn needs into solutions. Gather requirements and deliver complete reporting solutions.
- Build at scale. Design, develop, and maintain automated, user-friendly reports and dashboards that support procurement planning and decision-making.
- Move the data. Build and optimize ETL pipelines that pull data from diverse sources using SQL, Python, and AWS big data technologies.
- Tell the story. Publish and maintain QuickSight dashboards, reports, and executive review documents that reveal trends, patterns, and outliers.
- Spot what others miss. Uncover patterns in the data and connect them to business outcomes.
- Measure what matters. Invent new ways to define and measure program effectiveness and organizational productivity.
- Bridge business and tech. Act as the link between business and technical teams, delivering actionable insights and ad hoc analyses that fuel future improvements.
- Protect data quality. Run regular audits to keep reporting complete and accurate, and automate manual reporting wherever you can.
- Think ahead. Grow the team's analytical maturity through predictive and prescriptive analytics.
About the team
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- 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
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, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 99,500.00 - 160,000.00 USD annually
USA, VA, Herndon - 99,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 99,500.00 - 160,000.00 USD annually
See all 5,216+ Business Intelligence Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Business Intelligence roles.
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.
Use STEM OPT if your degree is in a qualifying field
Degrees in computer science, statistics, information systems, or applied mathematics qualify for STEM OPT - giving you up to 36 months of work authorization. Use that time to demonstrate business impact and build the case for H-1B sponsorship.
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.
Frequently 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 visa, 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 visa, 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.