H-1B Visa Senior Business Intelligence Engineer Jobs
Senior Business Intelligence Engineer roles qualify as H-1B visa specialty occupations under USCIS standards, requiring at least a bachelor's degree in computer science, information systems, or a related field. Tech, finance, healthcare, and retail companies regularly file LCAs for this title, making it one of the more actively sponsored engineering roles.
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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 1,612+ H-1B Visa Senior Business Intelligence Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Senior Business Intelligence Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior Business Intelligence Engineer
Align your degree to the role
USCIS scrutinizes whether your degree field directly relates to BI engineering. A computer science or information systems degree clears this easily. If yours is in a related but adjacent field, document how your coursework maps to data warehousing, SQL, and analytics.
Search LCA filings by SOC code
BI Engineer roles typically file under SOC 15-1244. Pull OFLC disclosure data filtered to that code to identify which employers filed LCAs in the past two years. This surfaces active sponsors you won't find by job title alone.
Use Migrate Mate to find verified sponsors
Filter by role and employer on Migrate Mate to see companies with confirmed H-1B LCA filing history for BI and data engineering titles. This cuts out employers who say they sponsor but haven't filed for this type of role.
Verify prevailing wage before negotiating
Run the OFLC Wage Search for your target metro and SOC code before salary discussions. Your offer must meet the DOL prevailing wage at the correct level, and knowing Level II versus Level III thresholds helps you spot underpaying sponsors early.
Confirm E-Verify enrollment before accepting
H-1B employers must be enrolled in E-Verify to sponsor. Ask HR directly before you invest time in interviews. Employers outside E-Verify can't file your petition, and discovering this after an offer wastes your 60-day grace period.
Time your start date around cap-gap coverage
If you're transitioning from OPT and selected in the H-1B lottery, your employment authorization extends automatically under cap-gap rules until October 1. Negotiate your offer start date to fall on or after October 1 to avoid any gap in authorized work status.
H-1B Visa Senior Business Intelligence Engineer: Frequently Asked Questions
Does a Senior Business Intelligence Engineer role qualify as an H-1B specialty occupation?
Yes. USCIS treats BI engineering as a specialty occupation because the role requires at least a bachelor's degree in a specific technical field such as computer science, information systems, or statistics. The connection between the degree and job duties must be direct. Titles involving data warehousing, ETL pipeline development, or enterprise reporting tools consistently meet this standard.
Which industries sponsor H-1B visas most often for this role?
Technology companies, financial services firms, large retail and e-commerce operations, and healthcare systems file LCAs for Senior BI Engineer positions regularly. Consulting firms that place BI contractors at client sites also sponsor frequently, though their petition structure differs. You can verify filing history for specific employers using Migrate Mate before targeting your applications.
What documents should I have ready when a sponsoring employer starts the H-1B process?
Your employer needs your academic transcripts and degree certificate, a credential evaluation if your degree is from outside the U.S., your current visa and I-94 record, and a detailed job description that ties your duties to your degree field. For BI roles, that means specifying tools like Tableau, Power BI, Snowflake, or similar platforms alongside the technical requirements.
Can I switch employers mid-H-1B if I find a better BI role?
Yes, under H-1B portability rules, you can start working for a new employer as soon as they file an H-1B transfer petition, without waiting for approval. Your new employer files a new I-129, and you're covered from the receipt notice date. The new role must still qualify as a specialty occupation under the same BI engineering standards.
How do I know if an employer's H-1B sponsorship offer is genuine?
Ask HR whether they're enrolled in E-Verify, whether they've sponsored this role before, and whether they cover USCIS filing fees. Legitimate sponsors file the LCA with DOL before submitting the I-129 to USCIS and don't ask you to pay petition fees. You can also check employer LCA filing history through Migrate Mate to confirm past sponsorship activity for BI titles.