E-3 Visa Data Analytics Specialist Jobs
Data Analytics Specialist roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in statistics, data science, computer science, or a related analytical field. The E-3 has no lottery and no annual cap, so Australian professionals can pursue U.S. roles year-round with predictable timelines.
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Get Access To All JobsMinimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software or cloud space.
- Experience selling data analytics or data management technologies to clients.
Preferred qualifications:
- Experience carrying and exceeding business goals in a sales role.
- Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience prioritizing and planning sales activity and transformation strategies within sales cycles aligned to data and analytics.
- Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.
About the job
As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform product solutions roadmap. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $138,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
- Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting territory’s business.
- Collaborate with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop analytics solution roadmaps with customers, understanding their unique requirements on a business and technical level.
- Manage with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, and how they can transform their business using our technologies.
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.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a sales role in the enterprise software or cloud space.
- Experience selling data analytics or data management technologies to clients.
Preferred qualifications:
- Experience carrying and exceeding business goals in a sales role.
- Experience supporting executive relationships, and developing new territories/accounts, while ensuring customer success, adoption and expansion.
- Experience prioritizing and planning sales activity and transformation strategies within sales cycles aligned to data and analytics.
- Experience working with internal/external teams, including account teams, technical leads, procurement, and legal, to inventory existing software estate, build cases for transformation with implementation plans, and close agreements.
- Knowledge of trends, products, and solutions in Cloud and Data and Analytics (BigQuery, Looker, Dataproc, Pub/Sub), including experience with data analytics technology stack.
About the job
As a Data Analytics Sales Specialist, you will help us grow our Data Analytics business by building and expanding relationships with new and existing customers. In this role, you will work with customers to deliver true business value, demonstrate product functionality and provide a comprehensive overview of key business use cases. You will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. You will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to Product and Global Solutions Teams to inform product solutions roadmap. You will shape customers' cloud and Data Analytics strategy and enable digital transformation. You will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive overall value for Google Cloud. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $138,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Build relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
- Deliver against quota and achieve or exceed business and growth goals while forecasting and reporting territory’s business.
- Collaborate with Google accounts and cross-functional teams (e.g. Customer Engineering, Marketing, Customer Success, Product, Engineering, Channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and customer experience.
- Develop analytics solution roadmaps with customers, understanding their unique requirements on a business and technical level.
- Manage with multiple customers and opportunities simultaneously, understanding each customer’s technology footprint and strategy, growth plans, business drivers, and how they can transform their business using our technologies.
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.
See all 115+ Data Analytics Specialist jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Analytics Specialist
Frame your Australian degree for U.S. employers
A three-year Australian bachelor's in data science or statistics is treated as equivalent to a U.S. four-year degree for E-3 purposes. Include a credential evaluation letter in your application package so hiring managers don't flag it as a gap.
Target employers with active DOL LCA history
Search DOL's Office of Foreign Labor Certification disclosure data for employers who have filed LCAs for data analytics roles. A company that has certified LCAs before already understands the process and won't treat your E-3 request as a legal experiment.
Get your E-3 sponsorship offer in writing early
Before your employer starts the LCA, make sure the offer letter specifies your job title, salary, and work location. DOL compares these details against the LCA filing, and mismatches between the letter and the certified application can delay or complicate your consulate appointment.
Use Migrate Mate's E-3 filing service for the LCA and paperwork
The LCA must be DOL-certified before you can schedule your consulate interview. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so your employer doesn't have to coordinate government portals, prevailing wage determinations, and DS-160 preparation on their own.
Clarify remote and hybrid work arrangements upfront
If your data analytics role will involve working from home in a different state than your employer's headquarters, a separate LCA must be filed for each worksite state. Confirm the work location scope with your employer before the LCA is submitted to USCIS and DOL.
Time your consulate appointment around project milestones
E-3 consulate interview wait times in Sydney, Melbourne, and Perth vary by season. Book your appointment as soon as the LCA is certified rather than waiting for a convenient date, because a two-week delay in scheduling can push your start date by a month or more.
Data Analytics Specialist jobs are hiring across the US. Find yours.
Find Data Analytics Specialist JobsData Analytics Specialist E-3 Visa: Frequently Asked Questions
Where can I find Data Analytics Specialist jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. It surfaces employers who have E-3 filing history so you can focus on companies already familiar with the process. General job boards don't filter by visa type or sponsorship willingness, which means most listings you find there won't result in an E-3 offer.
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 Data Analytics Specialist role qualify as a specialty occupation for the E-3?
Yes, data analytics roles typically qualify because they require at minimum a bachelor's degree in a specific field such as statistics, data science, mathematics, computer science, or information systems. The E-3 specialty occupation standard requires that the role normally demands a degree in a directly related discipline, not just any degree. Roles with vague requirements like 'bachelor's preferred' in any field are harder to support and can draw scrutiny at the consulate.
How does the E-3 compare to the H-1B for Data Analytics Specialist positions?
For Australian nationals, the E-3 is the stronger option. There is no lottery, no annual cap, and your employer can file an LCA any time of year with a DOL processing time of around seven business days. The H-1B cap lottery is held once per year and accepts only a fraction of registrations, meaning you could wait twelve months or more for a chance at selection. Both visas cover the same data analytics roles, but the E-3 timeline is entirely within your control.
Can I change employers or switch to a contract role while on an E-3?
You can change employers on E-3 status, but your new employer must file a fresh LCA and you need a new visa stamp if yours lists the previous employer. Contract or staffing agency arrangements are permitted as long as the agency is the legal employer on the LCA and the end client's worksite state is covered. Starting work before the new LCA is certified puts you out of status, so sequence the paperwork before your first day with the new company.
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