E-3 Visa Senior Business Intelligence Analyst Jobs
Senior Business Intelligence Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a relevant field like data science, computer science, or information systems. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. analytics and insights leadership positions.
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Get Access To All JobsINTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.
ROLE AND RESPONSIBILITIES
You will:
- Mine, triage, and analyze data from disparate, large-scale sources to extract insights that help evaluate driving scenarios and support onboard release deployment
- Partner with Product Managers, Engineers, Program Managers to identify the right measurements for product performance and prioritization
- Design and implement foundational data pipelines, and build the right reports and visualizations to drive insights
- Develop a deep understanding of various metrics, datasets, and data sources in relation to self-driving vehicle releases and the product roadmap
- Organize, develop, and contribute to signals and heuristics that capture targeted driving behaviors and scenarios
- Drive a culture of excellence and help establish best practices within the broader data science team
BASIC QUALIFICATIONS
You have:
- 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects
- Ability to scope, structure, and solve ambiguous problems from end to end by creating clear analysis plans
- Strong data intuition and statistical knowledge, with the ability to translate disparate signals from large, diverse datasets into insights on vehicle behavior
- Coding experience with SQL to design and implement complex data pipelines following best practices
- Strong attention to detail
PREFERRED QUALIFICATIONS
We prefer:
- Experience in the Autonomous Vehicle industry or a strong background in engineering or physics
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
- Salary Range: $168,000—$207,000 USD
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
INTRODUCTION
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.
This role follows a hybrid work schedule and you will report to the Manager of Product Data Science.
ROLE AND RESPONSIBILITIES
You will:
- Mine, triage, and analyze data from disparate, large-scale sources to extract insights that help evaluate driving scenarios and support onboard release deployment
- Partner with Product Managers, Engineers, Program Managers to identify the right measurements for product performance and prioritization
- Design and implement foundational data pipelines, and build the right reports and visualizations to drive insights
- Develop a deep understanding of various metrics, datasets, and data sources in relation to self-driving vehicle releases and the product roadmap
- Organize, develop, and contribute to signals and heuristics that capture targeted driving behaviors and scenarios
- Drive a culture of excellence and help establish best practices within the broader data science team
BASIC QUALIFICATIONS
You have:
- 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects
- Ability to scope, structure, and solve ambiguous problems from end to end by creating clear analysis plans
- Strong data intuition and statistical knowledge, with the ability to translate disparate signals from large, diverse datasets into insights on vehicle behavior
- Coding experience with SQL to design and implement complex data pipelines following best practices
- Strong attention to detail
PREFERRED QUALIFICATIONS
We prefer:
- Experience in the Autonomous Vehicle industry or a strong background in engineering or physics
COMPENSATION
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
- Salary Range: $168,000—$207,000 USD
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Senior Business Intelligence Analyst
Translate your Australian credentials for U.S. employers
A three-year Australian bachelor's degree in data science, information systems, or statistics satisfies the E-3 visa specialty occupation requirement. Clarify this upfront in interviews so hiring managers don't incorrectly assume you need additional U.S. qualifications before they can file your LCA.
Target analytics teams at E-Verify enrolled companies
Employers who have used E-Verify before are already comfortable with federal employment verification requirements, which signals familiarity with work authorization processes. Search specifically for BI and data analyst postings at companies with established international hiring pipelines in finance, tech, and healthcare.
Use Migrate Mate to identify and apply for E-3 roles
Use Migrate Mate to search Senior Business Intelligence Analyst roles filtered by E-3 sponsorship availability. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, so you're not relying on an employer's in-house HR team to get the LCA right.
Frame your LCA job title precisely before filing
The DOL Labor Condition Application must list a job title and SOC code that match the actual role. Vague titles like 'Data Specialist' or 'Analytics Lead' can trigger delays. Confirm with your employer that the posted title aligns with standard BI Analyst classifications before the LCA is submitted.
Negotiate your start date around LCA certification timing
DOL certifies most LCAs within seven business days, but your consulate interview and visa stamp processing add additional time. Build at least four to six weeks into your proposed start date after accepting an offer to avoid rescheduling conflicts if any step takes longer than expected.
Prepare a portfolio that demonstrates specialty occupation depth
Consular officers assess whether your role genuinely requires a degree in a specific field. A portfolio documenting complex BI architecture decisions, statistical modeling work, or enterprise data strategy strengthens your case and gives the officer concrete evidence beyond your job offer letter.
E-3 Visa Senior Business Intelligence Analyst: Frequently Asked Questions
How do I find Senior Business Intelligence Analyst jobs with E-3 sponsorship?
Migrate Mate is the most direct way to search for Senior Business Intelligence Analyst roles where employers are open to E-3 sponsorship. Standard job boards don't filter by visa type, so you often spend significant time cold-applying to roles where sponsorship was never on the table. Targeting verified E-3 roles upfront saves that time.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Senior Business Intelligence Analyst role qualify as a specialty occupation for the E-3?
Yes. Senior Business Intelligence Analyst positions typically require a bachelor's degree or higher in computer science, information systems, statistics, or a related quantitative field, which satisfies the E-3 specialty occupation definition. Roles that involve data modeling, pipeline architecture, or advanced analytics are well-supported. Where your employer uses a vague job title, confirming the SOC code with DOL before filing protects you from LCA complications.
How does the E-3 compare to the H-1B for Senior Business Intelligence Analyst roles?
The practical difference is significant. The H-1B visa has an annual lottery with selection rates below 25%, meaning you could wait years before getting a slot. The E-3 has no lottery and no annual cap, so if you have a qualifying job offer and an Australian passport, you can file immediately. Both require LCA certification through DOL and a specialty occupation determination, but the E-3 is renewable indefinitely in two-year increments.
Can I switch employers after starting work on an E-3 as a BI Analyst?
Yes, but the E-3 is employer-specific, so your current visa doesn't transfer to a new company. Your new employer must file a fresh LCA with DOL and you'll need to either obtain a new E-3 stamp at a consulate or, if you're already in the U.S., request a change of status. Start that process well before your intended transition date to avoid any gap in authorized work status.