H-1B1 Chile Visa Business Intelligence Engineer Jobs
H-1B1 Chile visa sponsorship lets Chilean Business Intelligence Engineers work in the U.S. without entering a lottery. With an annual cap of 1,400 visas that rarely fills and consulate processing instead of USCIS adjudication, qualified candidates with a data-focused degree and a U.S. job offer can move faster than most visa categories allow.
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Join our team to build the analytical foundation that powers North America's fulfillment network. You'll design and maintain data pipelines, dashboards, and machine learning models that enable supply chain leaders to make confident, data-driven decisions across 450+ facilities and billions of inbound units annually.
Key job responsibilities
-
Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains, working with supply chain partners to document what good performance looks like and how to measure distance from target
-
Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states, including automated reporting on plan deviations, constraint violations, and execution misses with root-cause attribution
-
Audit upstream data inputs that feed the planning chain—including transit time configurations, forecast accuracy, inventory health, and capacity assumptions—to ensure the analytical foundation remains reliable
-
Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network-level goals, quantify the impact, and support investigation into root causes
-
Contribute to evolving our measurement systems as the network changes, updating target-state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift
A day in the life
You'll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment network's planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions, validating the data inputs that feed our planning systems, or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.
You'll work across multiple domains—from demand forecasting accuracy to inventory positioning to transfer effectiveness—each requiring you to translate operational complexity into clear, measurable definitions. You'll partner with our supply chain optimization team to understand how their systems perform at the network level, then surface where outcomes could improve. You'll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.
Beyond routine responsibilities, you'll contribute to evolving how we think about planning. As the network changes—new fulfillment centers open, regionalization shifts, seasonal patterns evolve—you'll help us update our target-state definitions so our metrics stay relevant. You'll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.
About the team
Our customers—S&OP Planning, supply chain optimization teams, fulfillment center operations, and transportation leadership—rely on us to answer their most pressing questions. We're excited to work with someone who understands that great analytics only matter if they change how people make decisions. You'll join a team that measures success not by the elegance of our models, but by whether our partners act on our insights and whether those actions improve network outcomes.
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
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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, TN, Nashville - 94,600.00 - 160,000.00 USD annually
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
Join our team to build the analytical foundation that powers North America's fulfillment network. You'll design and maintain data pipelines, dashboards, and machine learning models that enable supply chain leaders to make confident, data-driven decisions across 450+ facilities and billions of inbound units annually.
Key job responsibilities
-
Define and maintain analytical frameworks that translate operational knowledge into quantified target states across fulfillment network domains, working with supply chain partners to document what good performance looks like and how to measure distance from target
-
Build and support data pipelines and dashboards that evaluate whether plans are converging toward target states, including automated reporting on plan deviations, constraint violations, and execution misses with root-cause attribution
-
Audit upstream data inputs that feed the planning chain—including transit time configurations, forecast accuracy, inventory health, and capacity assumptions—to ensure the analytical foundation remains reliable
-
Partner with supply chain optimization and operations teams to surface where system outcomes diverge from network-level goals, quantify the impact, and support investigation into root causes
-
Contribute to evolving our measurement systems as the network changes, updating target-state definitions and detection methodologies to stay relevant as new fulfillment centers open and operational patterns shift
A day in the life
You'll focus on strengthening the analytical definitions and measurement systems that guide our fulfillment network's planning and execution. Your day might include collaborating with supply chain planners to refine how we measure network balance across regions, validating the data inputs that feed our planning systems, or investigating why a weekly plan deviated from reality and documenting the root cause for the team to learn from.
You'll work across multiple domains—from demand forecasting accuracy to inventory positioning to transfer effectiveness—each requiring you to translate operational complexity into clear, measurable definitions. You'll partner with our supply chain optimization team to understand how their systems perform at the network level, then surface where outcomes could improve. You'll also support our operations teams by ensuring they have the dashboards and reports they need to make decisions at their level of detail.
Beyond routine responsibilities, you'll contribute to evolving how we think about planning. As the network changes—new fulfillment centers open, regionalization shifts, seasonal patterns evolve—you'll help us update our target-state definitions so our metrics stay relevant. You'll participate in designing new measurement frameworks that move us from understanding what happened to predicting what will happen next.
About the team
Our customers—S&OP Planning, supply chain optimization teams, fulfillment center operations, and transportation leadership—rely on us to answer their most pressing questions. We're excited to work with someone who understands that great analytics only matter if they change how people make decisions. You'll join a team that measures success not by the elegance of our models, but by whether our partners act on our insights and whether those actions improve network outcomes.
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
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- 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, TN, Nashville - 94,600.00 - 160,000.00 USD annually
USA, TX, Austin - 99,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
See all 70+ H-1B1 Chile Visa Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Business Intelligence Engineer
Align your degree to BI engineer roles
H-1B1 Chile requires a specialty occupation, so your degree must directly relate to business intelligence work. A degree in computer science, statistics, or information systems maps cleanly; a business-only degree without quantitative coursework can trigger consular scrutiny.
Target employers with LCA filing history
Search for BI Engineer roles at companies that have previously filed Labor Condition Applications for data and analytics positions. DOL's OFLC disclosure data shows which employers are already familiar with the H-1B1 visa process, reducing back-and-forth during the offer stage.
Use Migrate Mate to filter H-1B1 sponsors
Search for Business Intelligence Engineer roles on Migrate Mate to see employers filtered by H-1B1 Chile sponsorship history. It pulls DOL Labor Condition Application data so you're applying to companies that have already demonstrated willingness to sponsor Chilean nationals.
Verify your wage meets prevailing standards
Your offer salary must meet or exceed the DOL prevailing wage for your specific SOC code and work location. Run your job title and metro area through the OFLC Wage Search before accepting an offer to confirm the number your employer must certify on the LCA.
Confirm your employer files the LCA before you schedule
Unlike H-1B visa, the H-1B1 Chile process skips USCIS petition approval, but your employer still must obtain a certified LCA from DOL before you can apply at the consulate. Delays in LCA certification are the most common reason BI candidates miss their interview window.
Prepare a clear specialty occupation argument
Consular officers evaluate whether your BI Engineer role genuinely requires a theoretical and practical application of specialized knowledge. Bring documentation showing the role requires advanced SQL, data modeling, or BI platform expertise tied directly to your degree field, not just general analytical tasks.
Frequently Asked Questions
Does a Business Intelligence Engineer role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes, Business Intelligence Engineer positions typically qualify because they require at least a bachelor's degree in a directly related field such as computer science, information systems, or statistics. The key is that your specific role must demand specialized theoretical knowledge, not just general data analysis. O*NET classifies BI roles under database and network administrators and architects, which consistently meets the specialty occupation standard.
How does the H-1B1 Chile visa compare to H-1B for BI Engineer roles?
The H-1B1 Chile visa skips the H-1B lottery entirely, which means no random selection and no cap-subject petition filed with USCIS. The annual allocation of 1,400 visas for Chilean nationals has never been exhausted, so qualified BI Engineers with a job offer can apply at the U.S. consulate in Chile without waiting for a lottery result. The trade-off is that H-1B1 doesn't carry dual intent, so immigrant visa plans require separate handling.
How do I find employers who sponsor H-1B1 Chile visas for BI Engineer positions?
Use Migrate Mate to search Business Intelligence Engineer roles filtered by H-1B1 Chile sponsorship history. Migrate Mate surfaces employer LCA filing data from DOL so you can identify companies that have previously sponsored Chilean nationals in data and analytics roles, rather than applying broadly and discovering sponsorship limitations late in the process.
What documents do I need for the H-1B1 Chile consular interview as a BI Engineer?
You'll need a certified LCA from DOL, your DS-160 confirmation, a valid passport, the job offer letter specifying your BI Engineer role and responsibilities, and academic credentials showing your degree in a relevant field. Consular officers may ask for evidence that your duties require specialized BI knowledge, so bring documentation of technical responsibilities like data pipeline development, dashboard architecture, or advanced analytics platform work.
Can I change employers while on H-1B1 Chile status if I'm working as a BI Engineer?
Yes, but the H-1B1 Chile visa is employer-specific, so you can't simply transfer it. Your new employer must file a fresh LCA with DOL for the new position, and you'll generally need to return to Chile for a new consular interview rather than changing status domestically. Starting the LCA process with your new employer as early as possible reduces the gap between roles.