Data And Analytics Jobs in USA with Visa Sponsorship
Data and analytics roles rank among the most H-1B visa-sponsored job categories in the U.S., with employers across finance, tech, and healthcare filing thousands of petitions annually. Strong degree alignment in statistics, computer science, or a related quantitative field is typically required for sponsorship. For detailed occupation requirements, see the O*NET profile.
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INTRODUCTION
When you join Sallie Mae, you become a champion for all students.
We’re on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.
Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We’re changing. Because students need a better way.
We’re looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students—and for each other.
This is where diverse backgrounds, beliefs, and perspectives matter. It’s where you’re empowered to bring your authentic self to work.
Feeling your best allows you to do your best. Our benefits take care of the whole you—from physical and mental to financial and professional. You’ll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.
We’re obsessed with impact and making a real difference. For us, that means putting relationships first, asking “why not?” when tackling challenges, and continuously learning new skills.
Come do more than join something, change something. For students, for future generations, for the future of education.
ROLE AND RESPONSIBILITIES
Manager, Data Analytics (Private Student Lending)
SMB Business Development, Inc., 300 Continental Drive, Newark, DE 19713
Full time 40 hours per week, Monday - Friday
What you’ll do:
- Responsible for analyzing complex data sets, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization.
- May lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.
- Analyze complex data sets to identify patterns and trends that will drive business growth.
- Develop models and forecasts to support business planning and decision making.
- Present findings and recommendations to senior leadership to influence strategic decision-making.
- Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies.
- Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.
- Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement.
- Hybrid work permitted 2 days per week within a reasonable commuting distance of the Newark, Delaware Office.
BASIC QUALIFICATIONS
Master’s degree in Mathematics, Statistics, Economics, Business Analytics, Computer Science, or related field of study and two (2) years of experience as a Data Analyst, or related role where required experience was gained. Also requires 2 years of experience in the following:
- SQL, Python, or R;
- Data visualization tools such as Tableau, or Power BI;
- Write and maintain queries at an intermediate skill level, including table joins, sub-selects, manual business logic calculations, and case when groupings;
- Perform and interpret the results of statistical analysis such as logistical regression to provide critical and actionable business insights;
- Python capabilities and packages such as Pandas, to create and maintain business processes such as external data collection;
- Implement automation techniques for recurring reporting and data enablement to ensure accuracy and ease effort;
- Create and maintain visualizations in Power BI to provide greater off-the-shelf business intelligence and performance monitoring;
- Create and analyze pivot tables based on data output of queries; and
- Implement intermediate-level Excel functions such as sumproducts and vlookups.
CONTACT
Send resume to TA@salliemae.com and reference job title and location.
BENEFITS
Feeling your best helps you do your best:
Our benefits take care of the whole you—so you can build your work around your life (not the other way around!).
- Competitive base salaries
- Bonus incentives
- Generous PTO, Floating Holidays and 12 Federal Holidays observed
- Support for financial-well-being and retirement 401k with employer match
- Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
- Employer paid short-term/long-term disability and basic life insurance
- Flexible hybrid working arrangements.
- Paid parental leave and adoption reimbursement programs
- Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
- Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
- Tuition Reimbursement and Family Scholarship Programs
- Career development and training opportunities
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click here to view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Get Access To All JobsTips for Finding Data And Analytics Jobs
Lead with your technical stack
Employers sponsoring data and analytics roles want to see specific tools upfront. List Python, SQL, R, Spark, or Tableau prominently on your resume. Vague descriptions of 'data work' make sponsorship harder to justify internally.
Target industries with high sponsorship volume
Finance, healthcare, and enterprise tech sponsor data roles at far higher rates than most industries. Companies with large data infrastructure investments are more likely to have established visa sponsorship processes already in place.
Align your degree field to the job posting
H-1B specialty occupation requires your degree field to match the role. Statistics, mathematics, computer science, and information systems all support strong petitions. A business degree alone may not be sufficient for senior analytics roles.
Pursue roles with clear specialty occupation footing
Job titles like Data Scientist, Machine Learning Engineer, and Quantitative Analyst have well-established H-1B approval histories. Avoid applying to broadly defined analyst roles where degree requirements are listed as preferred rather than required.
Apply to larger employers first
Companies that file H-1B petitions regularly have internal legal teams and established timelines. For data and analytics candidates, starting with employers who have prior LCA disclosure data for your job title significantly reduces processing friction.
Use Migrate Mate to find sponsorship-ready openings
Migrate Mate curates data and analytics job listings from employers with active sponsorship histories. Filtering by your visa type saves time and connects you directly to roles where the employer already understands the process.
Frequently Asked Questions
Which data and analytics job titles get sponsored most often?
Data Scientist, Data Engineer, Machine Learning Engineer, and Business Intelligence Engineer see the highest H-1B visa sponsorship volumes. These titles have clear degree requirements and well-established specialty occupation histories at USCIS. Generalist titles like 'Data Analyst' can qualify but face more scrutiny, particularly when job postings list a degree as preferred rather than required.
Does my degree field matter for H-1B sponsorship in data and analytics?
Yes, and it matters significantly. USCIS requires a direct relationship between your degree field and the job duties. Degrees in statistics, mathematics, computer science, data science, or information systems provide the strongest foundation. A general business or liberal arts degree is unlikely to support a data science petition without substantial additional evidence of specialized training.
Are data and analytics roles hard to get sponsored for compared to software engineering?
Approval rates for data science and engineering roles are comparable to software engineering because both categories rest on the same specialty occupation framework. The risk is in how the job is defined. Roles with vague duties or interchangeable degree requirements draw more RFEs. Well-scoped postings requiring a specific quantitative degree in a specific field process more cleanly.
Can I get sponsored for a data analytics role if I studied outside the U.S.?
Yes. USCIS accepts foreign degrees, but they must be evaluated for U.S. equivalency by a credential evaluation service. A three-year bachelor's degree from certain countries may or may not be accepted as equivalent to a U.S. four-year degree depending on the evaluator's assessment and the employer's immigration counsel. Your petition is only as strong as that equivalency determination.
Where can I find data and analytics jobs that sponsor visas?
Migrate Mate lists data and analytics roles specifically filtered for visa sponsorship eligibility. Rather than sorting through thousands of general postings, Migrate Mate surfaces employers with active sponsorship histories so you can focus your applications on companies that are already set up to hire international candidates.
What is the prevailing wage requirement for sponsored Data And Analytics jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.