Principal Data Analyst Visa Sponsorship Jobs in New York
Principal data analyst visa sponsorship jobs in New York put you at the center of one of the world's most data-intensive economies. Financial services firms in Midtown Manhattan, media and advertising companies, major health systems, and tech employers across NYC regularly file for data analytics professionals through H-1B visa and employment-based green card programs.
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Get Access To All JobsINTRODUCTION
Data is at the center of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL and data transformation. You will be a creative data wrangler, comfortable with extracting, modeling, and transforming large, complex datasets to support our consumers. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, warehousing best practices, query profiling, and optimization techniques for data modeling and data governance. Ultimately, this is an analytics engineering role supporting not only analysts in the Strategy & Analytics team but a swathe of other data customers across a broader team who are hungry for data, metrics, and insights.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models to best serve our users. Define, manage, and implement the analytics engineering and infrastructure roadmap.
- Level up our data models, infrastructure, and dashboard interfaces to drive effective self-service. Liaise with team members and other data customers to understand and meet their analytical needs.
- Drive quality metadata and data discovery with a semantic layer—for both AI and humans. Excited to work alongside AI tools, not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses.
- Act as a performing data steward. Define and enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability.
- Drive a high level of data quality and observability of our data at all stages of the data lifecycle.
- Support modernization and migration initiatives from legacy reporting platforms.
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
- Drive a single source of truth of trusted metrics and data that users can find and understand easily and make decisions with confidence.
On any given day you will be:
- Driving high data and code quality, consistency, and simplicity.
- 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.
- Enhancing self-service offering with enhanced data cubes, dashboards, and AI interfaces.
- Consulting on the design and implementation of new production and data storage systems.
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 analytics engineering component.
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 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 3 years of experience working with at least one scripting language.
- At least 3 years of experience utilizing a business intelligence visualization tool.
- At least 3 years of experience in querying, analyzing and working with data languages and platforms.
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 4 years of experience coding in Python, R, Spark, or SQL.
- At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 2 years of experience utilizing and developing within AWS services.
- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- 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.
New York, NY: $143,200 - $163,500 for Principal Data Analyst
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).
INTRODUCTION
Data is at the center of everything we do at Capital One. Your role as a Data Analyst on the team will heavily leverage your deep expertise in SQL and data transformation. You will be a creative data wrangler, comfortable with extracting, modeling, and transforming large, complex datasets to support our consumers. This requires more than just the ability to write complex, performant queries; you must also possess a thorough understanding of database structures, warehousing best practices, query profiling, and optimization techniques for data modeling and data governance. Ultimately, this is an analytics engineering role supporting not only analysts in the Strategy & Analytics team but a swathe of other data customers across a broader team who are hungry for data, metrics, and insights.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Own the transformation layer, applying best practices to design and implement data cubes, warehouses, and other data models to best serve our users. Define, manage, and implement the analytics engineering and infrastructure roadmap.
- Level up our data models, infrastructure, and dashboard interfaces to drive effective self-service. Liaise with team members and other data customers to understand and meet their analytical needs.
- Drive quality metadata and data discovery with a semantic layer—for both AI and humans. Excited to work alongside AI tools, not just using them, but improving their outputs by rigorously reviewing, refining, and iterating on AI-generated code and analyses.
- Act as a performing data steward. Define and enforce rigorous data governance standards while managing metadata frameworks to ensure data compliance and discoverability.
- Drive a high level of data quality and observability of our data at all stages of the data lifecycle.
- Support modernization and migration initiatives from legacy reporting platforms.
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
- Drive a single source of truth of trusted metrics and data that users can find and understand easily and make decisions with confidence.
On any given day you will be:
- Driving high data and code quality, consistency, and simplicity.
- 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.
- Enhancing self-service offering with enhanced data cubes, dashboards, and AI interfaces.
- Consulting on the design and implementation of new production and data storage systems.
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 analytics engineering component.
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 5 years of experience performing data analytics, or, a Master’s Degree plus at least 3 years performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 3 years of experience working with at least one scripting language.
- At least 3 years of experience utilizing a business intelligence visualization tool.
- At least 3 years of experience in querying, analyzing and working with data languages and platforms.
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline.
- At least 4 years of experience coding in Python, R, Spark, or SQL.
- At least 4 years of experience working within process management and improvement methodologies – Agile, Lean, Six Sigma, etc.
- At least 2 years of experience utilizing and developing within AWS services.
- At least 2 years of experience delivering Data Governance and Data Quality Management concepts and practices within the financial services industry.
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
- 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.
New York, NY: $143,200 - $163,500 for Principal Data Analyst
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).
Principal Data Analyst Job Roles in New York
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Search Principal Data Analyst Jobs in New YorkPrincipal Data Analyst Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for principal data analysts in New York?
Financial institutions such as JPMorgan Chase, Goldman Sachs, and Citigroup are among the most active H-1B sponsors for senior data analytics roles in New York. Major tech employers including Google, Amazon, and Meta have large New York offices with consistent LCA filing history for data professionals. Healthcare systems, media companies, and consulting firms also sponsor principal data analysts regularly through H-1B and employment-based green card programs.
Which visa types realistically fit principal data analyst roles in New York?
Principal data analyst roles qualify as specialty occupations requiring at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or data science. This makes them eligible for the H-1B, the E-3 visa for Australian nationals, and the H-1B1 visa for Chilean and Singaporean nationals. Workers already holding H-1B status can transfer to a new New York employer once the new petition is filed. Employment-based green cards through the EB-2 or EB-3 categories are also available for qualified candidates with employer sponsorship.
Which cities in New York have the most principal data analyst sponsorship jobs?
New York City, specifically Manhattan, accounts for the overwhelming majority of principal data analyst sponsorship activity in the state. The concentration of financial services, advertising technology, media, and enterprise tech companies in Midtown and Lower Manhattan drives most LCA filings. Buffalo and Rochester have smaller but active markets, primarily through healthcare systems and regional financial institutions, while Albany sees some activity from state government contractors and insurance firms.
How to find principal data analyst visa sponsorship jobs in New York?
Migrate Mate lists principal data analyst positions at New York employers with verified visa sponsorship history, searchable by role and location. Filtering to New York surfaces companies with active LCA filings specifically for data analytics professionals, so you can focus your applications on employers who have already demonstrated a willingness to sponsor. This is more targeted than applying broadly and discovering sponsorship eligibility late in the interview process.
Are there any New York-specific factors that affect principal data analyst sponsorship?
New York's concentration of regulated industries, particularly finance and healthcare, means many principal data analyst roles require familiarity with data governance frameworks and compliance requirements specific to those sectors. Employers in these industries often have established immigration support infrastructure, making sponsorship more procedurally straightforward. New York City's density of graduate programs in data science and statistics at institutions like Columbia and NYU also creates a strong local pipeline that some employers draw from alongside international candidates.
What is the prevailing wage for sponsored principal data analyst jobs in New York?
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.