Data Analytics Jobs in USA with Visa Sponsorship
There are 32,657+ data analytics positions currently offering visa sponsorship in the United States. The most common visa types for these roles include H-1B, Green Card, TN. Top hiring companies include Apple, Deloitte, & Meta, among others. Salaries for sponsored positions range from $144K – $209K.
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About us:
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
ROLE SUMMARY:
We are looking for a Data Analyst/Scientist who will support our charging team and cross-functional partners through driving business planning, operational and product development decisions with predictive insights derived from the analysis of a wide range of high volume, high velocity, structured and unstructured data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
They must have an ability to ingest business needs and drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities:
- Mine and analyze data from multiple sources to drive optimization and improvement of product development and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, cost reductions and other business outcomes.
- Build reliable, fast, and dynamic data tools, pipelines, and user-facing applications.
- Contextualize data into clear reporting dashboards for various stakeholder groups.
- Mature exploratory data analysis projects into production-grade software.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
QUALIFICATIONS
- 0-2 years of experience manipulating data sets and building statistical models.
- Bachelor’s, Master’s Or PhD In Statistics, Mathematics, Computer Science or another quantitative field.
- Strong problem-solving skills with an emphasis on product development.
- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Extensive experience developing data science software with Python and leveraging leading numerical and machine learning libraries including NumPy, Pandas, Scikit-learn, and Plotly.
- Experience with cloud-based services including Databricks and AWS.
- Familiarity with Linux, SQL, and Git.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Knowledge and experience in machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, Bayesian Optimization, etc.
- Exposure to or hands-on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization.
NICE TO HAVES:
- Experience building user-facing applications using Plotly Dash.
- Experience with distributed data/computing tools: Spark, Databricks, etc.
- Experience with DBT.
- Interest in clean/renewable energy, electric vehicles, and charging.
- Background/Intern experience in consulting, product or program management, technology, automotive, or energy.
PAY DISCLOSURE:
The salary range for this role is USD 116,300 - 145,400 for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.
The successful candidate may be eligible for annual performance bonus and equity awards.
We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.
You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than March 20, 2026.
EQUAL OPPORTUNITY
Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.
Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com.
CANDIDATE DATA PRIVACY
Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.
Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.

How to Get Visa Sponsorship in Data Analytics
Build a strong SQL and Python foundation first
SQL is the universal language of data analytics, and Python - particularly pandas, NumPy, and matplotlib - is increasingly expected. Employers sponsoring data analytics roles test these skills in interviews, so demonstrable proficiency matters more than listing them on a resume.
Target industries with high analytics hiring volume
Tech, financial services, healthcare, and e-commerce have the largest demand for data analytics professionals. Companies like JPMorgan Chase, UnitedHealth Group, Amazon, and Deloitte hire data analysts at scale and maintain active visa sponsorship programs for qualifying candidates.
Pursue STEM-designated degree programs
If you are still in school or considering a master's program, choose a STEM-designated data analytics or data science program. STEM designation qualifies you for 36 months of total OPT work authorization, giving employers a longer evaluation period before committing to H-1B sponsorship.
Gain experience with cloud-based analytics platforms
Enterprise data analytics has shifted to cloud platforms like Google BigQuery, Amazon Redshift, and Snowflake. Hands-on experience with at least one cloud data warehouse is increasingly a baseline requirement for sponsored positions at companies operating at scale.
Differentiate yourself with domain-specific analytics skills
A data analyst who understands healthcare claims data, financial risk metrics, or supply chain KPIs is more valuable than a generalist. Domain expertise makes you harder to replace domestically and gives employers a stronger justification for sponsoring your specific skill set.
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Get Access To All JobsFrequently Asked Questions
Is data analytics a viable career path for visa sponsorship in the U.S.?
Data analytics is one of the stronger career paths for visa sponsorship, with consistent H-1B filing activity across tech, finance, healthcare, and consulting. The Bureau of Labor Statistics projects strong growth for data-related occupations through 2033, and employers across industries need professionals who can transform raw data into actionable insights. This demand makes the field well-positioned for sponsorship.
What degree do I need for a sponsored data analytics role?
Most H-1B data analytics positions require a bachelor's degree in statistics, data science, computer science, mathematics, or a related quantitative field. Some employers accept degrees in economics or information systems with demonstrated quantitative coursework. The degree must align with the specialty occupation classification to support the visa petition.
How do data analytics roles differ from data science roles for visa purposes?
Data analytics roles emphasize descriptive and diagnostic analysis - dashboards, reporting, SQL queries, and trend identification. Data science roles typically require more advanced statistical modeling, machine learning, and programming. Both qualify for H-1B sponsorship, but data science roles may have an edge due to higher prevailing wages and stronger STEM classification alignment.
What certifications help break into data analytics with visa sponsorship?
The Google Data Analytics Professional Certificate and IBM Data Analyst Professional Certificate are widely recognized entry points. For more advanced positioning, the Certified Analytics Professional (CAP) or Tableau Desktop Specialist certification can differentiate your application. These credentials complement a qualifying degree but typically cannot replace the degree requirement for H-1B purposes.
What is the prevailing wage requirement for sponsored Data Analytics jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage" — the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level — for example, a data analytics in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search.
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