E-3 Visa Business Intelligence Analyst Jobs
Business Intelligence Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in fields like information systems, statistics, or computer science. The E-3 has no lottery and no annual cap, so you can accept an offer and start the filing process at any time of year.
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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
See all 283+ E-3 Visa Business Intelligence Analyst Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Business Intelligence Analyst
Align your degree to the role
BI Analyst positions require a degree in a specific related field, not just any bachelor's. Confirm your transcript shows information systems, statistics, data science, or computer science, a general business degree alone may not satisfy the specialty occupation requirement.
Target employers with LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to find companies that have filed Labor Condition Applications for BI Analyst or data analyst roles. These employers already understand the E-3 visa process and won't treat sponsorship as a blocker.
Frame sponsorship as low-cost for employers
Many hiring managers confuse the E-3 with the H-1B lottery. Spell out the difference: no lottery, no cap, no PERM labor certification, and a filing timeline measured in weeks. Removing that assumption gets more offers moving forward.
Get your Australian credentials assessed early
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes, but have a credential evaluation ready before interviews. Delays in assessment can slow the LCA filing after you receive an offer.
Use Migrate Mate's E-3 filing service after your offer
Once you have a signed offer letter, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This covers DOL certification, DS-160 preparation, and consulate appointment readiness without needing a separate immigration attorney.
Negotiate your start date around LCA certification
The DOL certifies LCAs within seven business days in most cases. Build at least three to four weeks into your proposed start date after offer acceptance to allow for LCA certification, DS-160 submission, and consulate scheduling in Sydney, Melbourne, or Perth.
E-3 Visa Business Intelligence Analyst: Frequently Asked Questions
Where can I find Business Intelligence Analyst jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 visa sponsorship roles in the United States. Rather than filtering through general job boards where sponsorship status is often unclear, Migrate Mate surfaces BI Analyst positions at employers with verified U.S. sponsorship activity, so you're applying where it actually counts.
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 Business Intelligence Analyst role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS treats BI Analyst positions as specialty occupations when the role requires applying statistical modeling, SQL, data warehousing, or visualization tools at a level that normally requires at least a bachelor's degree in a directly related field. Generic analyst titles with no technical requirement attached carry more risk, so the job description wording matters.
How does the E-3 compare to the H-1B for Business Intelligence Analyst roles?
For Australian nationals, the E-3 is significantly more practical. There's no annual lottery, no cap, and no multi-year wait to start work. You can receive an offer in October and begin working by November if consulate scheduling cooperates. The H-1B requires winning a lottery in April with an October 1 start date at the earliest, and most registrants aren't selected.
Can I transfer my E-3 to a new BI Analyst employer if I change jobs?
Yes, but the process starts fresh with each employer. Your new employer files a new LCA with DOL, and you'll need to attend a consulate interview in Australia or apply for a change of status inside the U.S. if you're already here. There's no portability provision equivalent to the H-1B's AC21 rule, so plan your transition timeline carefully.