H-1B Visa Business Intelligence Analyst Jobs
Business Intelligence Analyst roles qualify for H-1B visa sponsorship as specialty occupations requiring at least a bachelor's degree in a directly related field. Employers file a Labor Condition Application with DOL before petitioning USCIS, certifying that your offered wage meets prevailing wage levels for your specific work location.
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As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
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, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
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, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
See all 1,602+ H-1B Visa Business Intelligence Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Business Intelligence Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Business Intelligence Analyst
Verify your degree aligns with the role
USCIS evaluates whether your degree field directly relates to BI analysis. A degree in computer science, statistics, or information systems strengthens your case; a general business degree may require a credential evaluation to establish the direct relationship.
Look up prevailing wages before negotiating
Use the OFLC Wage Search to find the DOL wage level for Business Intelligence Analyst at your work location before accepting an offer. Your employer's LCA must certify your salary meets at least the Level I threshold for your metro area.
Target employers with active LCA filing history
Search Migrate Mate to filter Business Intelligence Analyst roles by employers who have filed LCAs for this occupation code. That filing history signals the employer already understands the H-1B process and won't treat your sponsorship as a first-time experiment.
Confirm the role's O*NET classification with your employer
BI Analyst roles can be filed under multiple Standard Occupational Classification codes. Ask your employer which SOC code they plan to use on the LCA, then cross-check it against the O*NET job zone to confirm it satisfies specialty occupation requirements.
Get written confirmation of premium processing before your 60-day grace period narrows
If you're changing employers after a layoff, your 60-day grace period runs from your last day. Confirm in writing whether your new employer will file with premium processing so you know whether USCIS will adjudicate before your grace period closes.
Document your BI tools and platform expertise separately
USCIS officers reviewing BI Analyst petitions sometimes issue RFEs questioning specialty occupation when job duties overlap with general data work. A clear breakdown of your SQL, Tableau, Power BI, or Python skills tied to your degree field reduces that risk.
H-1B Visa Business Intelligence Analyst: Frequently Asked Questions
Does a Business Intelligence Analyst role qualify as an H-1B specialty occupation?
Yes, provided the employer requires at least a bachelor's degree in a directly related field such as computer science, statistics, or information systems. USCIS has issued RFEs on BI Analyst petitions where job duties appeared generalist or where the degree field wasn't clearly tied to the role, so the position description and educational requirement both matter.
How do I find employers who actually sponsor H-1B visas for BI Analyst roles?
Browse Migrate Mate to search Business Intelligence Analyst openings filtered by employers with H-1B LCA filing history for this occupation. DOL LCA disclosure data shows which companies have filed for this specific role, so you're targeting employers with a documented record rather than guessing based on company size or industry.
What SOC code does a Business Intelligence Analyst typically use for the LCA?
Most employers file under SOC 15-1211 (Computer Systems Analysts) or 15-2051 (Data Scientists), depending on the role's emphasis. The SOC code affects the DOL prevailing wage tier, so confirm with your employer which code they plan to use and check the corresponding wage level in the OFLC Wage Search before signing your offer letter.
Can I transfer my H-1B to a new employer if my BI Analyst role changes significantly?
Yes, H-1B portability under AC21 lets you start working for the new employer once the transfer petition is filed, without waiting for approval, as long as your previous H-1B was approved and you've been in valid status. If the new role's job duties or SOC code differ materially from your original petition, your new employer needs to file a new LCA reflecting those changes.
What documentation strengthens an H-1B petition for a Business Intelligence Analyst?
Strong petitions include a detailed job description tying specific BI duties to your degree field, evidence that the employer normally requires a bachelor's degree for the position, and any professional certifications in relevant platforms. If your degree is in a tangential field, a credential evaluation establishing equivalency to a U.S. bachelor's in a directly related discipline can reduce RFE risk significantly.