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 JobsData Analysis Manager - Risk Product Data
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
- Experience real work life balance, with little travel involved
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- Identifying and implementing process, data, and reporting improvements for the organization
- Working with large and complex databases containing millions to billions of records
- Improving operational efficiencies and effectiveness
- Conducting analysis to evaluate processes and tests
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications:
- Currently has, or is in the process of obtaining a:
- Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- McLean, VA: $164,800 - $188,100 for Data Analysis Manager
- Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
- Chicago, IL: $149,800 - $171,000 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Data Analysis Manager - Risk Product Data
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
- Experience real work life balance, with little travel involved
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- Identifying and implementing process, data, and reporting improvements for the organization
- Working with large and complex databases containing millions to billions of records
- Improving operational efficiencies and effectiveness
- Conducting analysis to evaluate processes and tests
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications:
- Currently has, or is in the process of obtaining a:
- Bachelor’s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
Preferred Qualifications:
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- McLean, VA: $164,800 - $188,100 for Data Analysis Manager
- Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
- Chicago, IL: $149,800 - $171,000 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
See all 1,243+ E-3 Visa Data Analytics Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Analytics Specialist Jobs.
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 visa 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.
E-3 Visa Data Analytics Specialist: 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 visa 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.