E-3 Visa Data Analytics Intern Jobs
Data Analytics Intern roles in the U.S. are a strong fit for E-3 visa sponsorship: the position typically requires a bachelor's degree in statistics, mathematics, or computer science, meeting the specialty occupation standard. Australian nationals can apply without entering the H-1B lottery, with renewals available indefinitely in two-year increments.
Find E-3 Visa Data Analytics Intern JobsOverview
Showing 5 of 228+ Data Analytics Intern jobs
See all 228+ Data Analytics Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Intern roles.
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 228+ E-3 Visa Data Analytics Intern Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Analytics Intern Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Analytics Intern
Frame your degree as a specialty occupation credential
E-3 visa eligibility hinges on your degree matching the role. A three-year Australian bachelor's in data science, statistics, or mathematics is generally accepted as equivalent to a U.S. four-year degree, but have your academic transcripts ready to confirm the direct field alignment.
Target employers with active LCA filing histories
Search DOL's OFLC disclosure data for companies that have filed Labor Condition Applications for data analyst or analytics intern roles. Prior LCA filings signal the employer already understands the sponsorship process and won't stall at the paperwork stage.
Confirm internship duration before the LCA is filed
E-3 visas are issued for the period of employment stated on the LCA, not a fixed two-year maximum. For internship roles, that often means a six-to-twelve-month authorization, so negotiate the end date with your employer before the DOL filing is submitted.
Address the specialty occupation question upfront
Intern titles sometimes raise consular scrutiny because they can imply general or administrative work. Bring documentation showing the role requires applied statistical or programming skills, such as a detailed job description specifying tools like Python, SQL, or Tableau, to support the specialty occupation determination.
Use Migrate Mate's E-3 filing service to manage LCA and visa paperwork
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission to DOL, prepares your DS-160 and supporting documents, and guides you through your consulate appointment so nothing delays your start date.
Prepare for consulate questions about post-internship plans
Consular officers assess nonimmigrant intent for every E-3 application. For intern applicants, having a clear, credible answer about your plans after the internship ends, whether returning to Australia or transitioning to a full-time E-3 role, reduces the chance of additional scrutiny at interview.
E-3 Visa Data Analytics Intern: Frequently Asked Questions
How do I find Data Analytics Intern jobs that offer E-3 visa sponsorship?
Most generic job boards don't filter by visa sponsorship type, which means you spend time on roles that won't work. Migrate Mate is built specifically for Australian professionals on the E-3 and surfaces Data Analytics Intern roles from employers who are already open to sponsorship, saving you from outreach to companies unfamiliar with the process.
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 Intern role qualify as a specialty occupation for E-3 purposes?
It can, but the title alone isn't enough. The role must require at least a bachelor's degree in a specific field like statistics, computer science, or data science as a minimum entry requirement. A generic intern posting where any degree qualifies won't meet the standard. Ask the employer to confirm the degree requirement is reflected in the official job description before the LCA is filed.
How does the E-3 visa compare to H-1B for Data Analytics Intern roles?
The E-3 is available year-round with no lottery, which matters for internship timelines that rarely align with the H-1B's April registration window. Employers file the LCA directly with DOL and then you attend a consulate interview in Australia, often completing the process in four to six weeks. H-1B requires lottery selection before any filing, making it impractical for short-term intern placements.
Can my E-3 visa be extended if the internship converts to a full-time role?
Yes. If your employer offers a full-time data analytics position after your internship, they file a new LCA reflecting the permanent role and updated salary, and you apply for a new E-3 visa at an Australian consulate. There's no cap on the number of renewals, so the transition from intern to full-time doesn't require switching to a different visa category.