E-3 Visa Data And Analytics Jobs
Data and analytics roles in the U.S. qualify as E-3 specialty occupations, making Australian professionals eligible to work without entering a lottery. Employers in this field routinely provide E-3 visa sponsorship, covering the Labor Condition Application and consulate paperwork for data scientists, analysts, and BI engineers.
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Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
In this role, you will lead the daily operations of Play Data Science and Analytics. You will act as a trusted advisor to ensure alignment with partner organizations and maximize impact through operational efficiency. You will facilitate executive-level communication and decision-making, orchestrate cross-functional initiatives, and manage key initiatives.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $309000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple cross-functional programs or projects.
PREFERRED QUALIFICATIONS
- MBA or Master's degree in Computer Science or Data Analytics.
- 10 years of experience in management consulting, data science, data strategy, or governance within a changing, technology-driven environment.
- Understanding of analytics platforms, data analytics and business insights.
- Excellent stakeholder management, operational leadership, executive communications, and the ability to influence cross-functional teams.
Responsibilities
- Plan and facilitate leadership meetings and onsites to formulate priorities, structure goal attainment, and organize quarterly business reviews that ensure delivery against the highest business priorities.
- Partner closely with Data Science, Program Manager (PM), and Engineering leaders on the execution of the AI goal and priorities with emphasis on velocity, resourcing, process, and operational needs.
- Plan and drive operational excellence to define Data Science and Analytics (DSA) priorities, Key Performance Indicators (KPIs), and key initiatives spanning data science and business intelligence in partnership with data engineering teams.
- Cultivate an AI-forward, data-driven team culture by leading cross-organization initiatives, providing regular communications for leads, and facilitating action planning to drive accountability.
- Oversee and execute processes required for budget and headcount management.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
In this role, you will lead the daily operations of Play Data Science and Analytics. You will act as a trusted advisor to ensure alignment with partner organizations and maximize impact through operational efficiency. You will facilitate executive-level communication and decision-making, orchestrate cross-functional initiatives, and manage key initiatives.
Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $222000 - $309000 (USD) + 25% bonus target + bonus + equity + benefits
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 15 years of experience in management consulting, product management and strategy, or analytics in a technology company.
- Experience working with and analyzing data, and managing multiple cross-functional programs or projects.
PREFERRED QUALIFICATIONS
- MBA or Master's degree in Computer Science or Data Analytics.
- 10 years of experience in management consulting, data science, data strategy, or governance within a changing, technology-driven environment.
- Understanding of analytics platforms, data analytics and business insights.
- Excellent stakeholder management, operational leadership, executive communications, and the ability to influence cross-functional teams.
Responsibilities
- Plan and facilitate leadership meetings and onsites to formulate priorities, structure goal attainment, and organize quarterly business reviews that ensure delivery against the highest business priorities.
- Partner closely with Data Science, Program Manager (PM), and Engineering leaders on the execution of the AI goal and priorities with emphasis on velocity, resourcing, process, and operational needs.
- Plan and drive operational excellence to define Data Science and Analytics (DSA) priorities, Key Performance Indicators (KPIs), and key initiatives spanning data science and business intelligence in partnership with data engineering teams.
- Cultivate an AI-forward, data-driven team culture by leading cross-organization initiatives, providing regular communications for leads, and facilitating action planning to drive accountability.
- Oversee and execute processes required for budget and headcount management.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Data And Analytics
Frame your credentials for U.S. specialty occupation
Australian three-year bachelor's degrees in statistics, computer science, or a quantitative field are generally accepted as equivalent to U.S. four-year degrees. Request an official transcript and have it ready to present alongside your offer letter before the LCA is filed.
Target employers with active LCA filing history
Search the DOL's Foreign Labor Application Gateway for certified LCA filings under data analyst, data scientist, and business intelligence job titles. Employers who have filed before understand the process and are far less likely to stall at the offer stage.
Clarify the specialty occupation link early
Data and analytics titles vary widely. Confirm with your prospective employer that the job description explicitly requires a bachelor's degree in a specific field like statistics, data science, or computer science, not just any degree. A vague requirement can complicate the LCA certification.
Use Migrate Mate's E-3 filing service for LCA paperwork
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This avoids the common delay where employers unfamiliar with E-3 visa requirements spend weeks coordinating with outside counsel before filing.
Negotiate consulate preparation into your offer timeline
The E-3 is consulate-issued, so you'll attend a visa interview in Australia after your LCA is certified. Build at least three to four weeks of post-LCA preparation time into your agreed start date so your employer isn't caught off guard by the consulate step.
Understand the E-3 renewal cycle for contract roles
Analytics contractors and fixed-term employees can renew the E-3 indefinitely in two-year increments, but each renewal requires a current LCA tied to your active role. If your job title or employer changes before renewal, a new LCA must be filed before the old one expires.
E-3 Visa Data And Analytics: Frequently Asked Questions
How do I find data and analytics jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search data and analytics roles filtered by E-3 visa sponsorship. Migrate Mate surfaces employers with confirmed LCA filing history in data science, business intelligence, and analytics titles, so you're applying to companies already familiar with the E-3 process rather than educating hiring managers from scratch.
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.
How does the E-3 compare to the H-1B for data and analytics professionals?
Both visas require a specialty occupation and a bachelor's degree in a relevant field, but the E-3 has no annual cap and no lottery. H-1B visa registrations are capped at 85,000 per year, and selection is random. Australian nationals in data and analytics roles can apply for an E-3 at any time of year, and approvals are consulate-issued, often within weeks of filing.
Does my analytics job title need to match the LCA exactly?
The LCA must reflect the actual role you'll perform, and the job title must correspond to a recognised Standard Occupational Classification code. Titles like Data Scientist, Business Intelligence Analyst, and Data Engineer each map to distinct SOC codes in the DOL system. Your employer should confirm the correct code before the LCA is submitted to avoid a certification delay.
Can I switch data and analytics employers after my E-3 is approved?
Yes, but the E-3 is employer-specific. When you change employers, your new company must file a fresh LCA before you start working for them. You'll also need a new visa if your current stamp lists the previous employer, which means returning to a U.S. consulate in Australia for a new interview. There's no portability provision equivalent to what exists for H-1B holders.