H-1B Visa Business Intelligence Manager Jobs
Business Intelligence Manager roles qualify as H-1B visa specialty occupations because they require at least a bachelor's degree in a directly related field like computer science, statistics, or information systems. Most sponsoring employers file LCAs under SOC code 15-2051, and the 85,000-slot annual cap means timing your job search around the April lottery window matters.
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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 1,604+ H-1B Visa Business Intelligence Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Business Intelligence Manager Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Business Intelligence Manager
Verify your degree aligns with BI work
USCIS scrutinizes whether your degree field directly relates to business intelligence. A degree in information systems or statistics strengthens your petition. A general business degree may trigger an RFE, so gather supplemental coursework records now.
Search LCA filings by SOC code
Business Intelligence Manager roles typically file under SOC code 15-2051. Use the OFLC Wage Search to find employers who have certified LCAs for this exact occupation code, not just broad tech or analytics categories.
Target employers with cap-exempt pathways
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file H-1B petitions year-round without the lottery. BI Manager roles exist at these organizations and offer a faster sponsorship timeline than cap-subject employers.
Use Migrate Mate to filter verified sponsors
Filter your job search by employers with confirmed H-1B LCA filing history for BI roles on Migrate Mate. This eliminates employers who list sponsorship as open to discussion but have no documented filing track record in this occupation.
Negotiate offer timing around the April window
H-1B registration opens in early March and closes within days. Get your offer letter and I-129 documentation to your employer's immigration counsel by February so they can file during the registration window, not scramble after it closes.
Clarify tool scope in your job description
USCIS evaluates whether the role genuinely requires a specialty degree. Ask your employer to specify BI platforms, data modeling standards, and analytical methodologies in your offer letter, strengthening the specialty occupation argument in your petition.
H-1B Visa Business Intelligence Manager: Frequently Asked Questions
Does a Business Intelligence Manager role qualify as an H-1B specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, statistics, information systems, or applied mathematics. USCIS evaluates the job duties, not just the title. If the role involves data modeling, dashboard architecture, or BI platform management at a technical level, it typically satisfies the specialty occupation standard.
Which employers sponsor H-1B visas for Business Intelligence Manager roles?
Technology companies, financial services firms, healthcare systems, and large retailers consistently file LCAs for BI Manager roles. You can identify specific employers with a filing track record by searching DOL LCA disclosure data or browsing verified sponsors on Migrate Mate, which filters employers by occupation and filing history so you're not applying blind.
What happens to my H-1B status if my BI Manager role changes significantly after approval?
A material change in duties, location, or employer requires an amended H-1B petition filed with USCIS before the change takes effect. If you move from hands-on analytics work to a purely administrative management role, USCIS may question whether the specialty occupation requirement is still met. Document the technical scope of any role change with your employer's immigration counsel early.
How does prevailing wage apply to H-1B sponsorship for Business Intelligence Manager positions?
Your employer must pay at least the DOL prevailing wage for your specific SOC code and work location. BI Manager wages vary significantly by metro area. You can verify the wage level your employer is certifying for your role using the OFLC Wage Search before accepting an offer, which lets you confirm the compensation meets the legal minimum for your location.
Can I transfer my H-1B to a new employer for a Business Intelligence Manager role?
Yes. Under H-1B portability rules, you can start working for a new employer as soon as they file a transfer petition, without waiting for USCIS approval, as long as your current H-1B was approved and you've maintained lawful status. The new employer must file a new LCA and I-129 for the specific BI Manager position before your first day with them.