Principal Analyst Visa Sponsorship Jobs in Virginia
Principal analyst visa sponsorship jobs in Virginia are concentrated in the Northern Virginia technology corridor, with major employers including Booz Allen Hamilton, Leidos, SAIC, and Deloitte filing for data and analytics roles in the defense, federal contracting, and intelligence sectors. McLean, Reston, Tysons, and Arlington are the primary hiring hubs for sponsored positions.
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Get Access To All JobsINTRODUCTION
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.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
ABOUT THE TEAM
The Bank Tech Analytics team is a group dedicated to advancing data-driven decision-making and operational excellence across the enterprise, delivering comprehensive services for Bank Tech while actively contributing back to the broader organization. The team provides core capabilities spanning metrics and insights frameworks, applied analytics, operational efficiency automation, and AI integration. Through continuous stakeholder partnerships and automated data pipelines via Snowflake/Onelake and Databricks, Bank Tech Analytics transforms complex information into actionable insights and custom reporting solutions. This work enhances the developer experience, equips leaders to drive strategy, and delivers high-impact value by fostering enterprise-wide collaboration and pioneering innovative analytics transformations.
On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:
Innovation
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Drive analysis that provides meaningful insights on business strategies
Data Management
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
OUR IDEAL CANDIDATE WILL HAVE:
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within AWS services
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.
This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.
COMPENSATION
- McLean, VA: $131,300 - $149,800 for Principal Data Analyst
- New York, NY: $143,200 - $163,500 for Principal Data Analyst
- Richmond, VA: $119,400 - $136,200 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
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.
As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
ABOUT THE TEAM
The Bank Tech Analytics team is a group dedicated to advancing data-driven decision-making and operational excellence across the enterprise, delivering comprehensive services for Bank Tech while actively contributing back to the broader organization. The team provides core capabilities spanning metrics and insights frameworks, applied analytics, operational efficiency automation, and AI integration. Through continuous stakeholder partnerships and automated data pipelines via Snowflake/Onelake and Databricks, Bank Tech Analytics transforms complex information into actionable insights and custom reporting solutions. This work enhances the developer experience, equips leaders to drive strategy, and delivers high-impact value by fostering enterprise-wide collaboration and pioneering innovative analytics transformations.
On any given day you will be challenged on three types of work – Innovation, Business Intelligence and Data Management:
Innovation
- Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
- Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
- Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Business Intelligence
- Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
- Drive analysis that provides meaningful insights on business strategies
Data Management
- Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
- Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
- Build and execute tools to monitor and report on data quality
OUR IDEAL CANDIDATE WILL HAVE:
- Degree specialized in a Science, Technology, Engineering, Mathematics discipline
- Scripting experience in (Python, R, Spark, and SQL)
- Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
- Experience utilizing and developing within AWS services
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.
This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location.
COMPENSATION
- McLean, VA: $131,300 - $149,800 for Principal Data Analyst
- New York, NY: $143,200 - $163,500 for Principal Data Analyst
- Richmond, VA: $119,400 - $136,200 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 Analyst Job Roles in Virginia
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Search Principal Analyst Jobs in VirginiaPrincipal Analyst Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for principal analysts in Virginia?
Virginia's federal contracting industry drives significant principal analyst sponsorship activity. Booz Allen Hamilton, Leidos, SAIC, Deloitte, Accenture Federal Services, and Maximus are among the most active filers for data and analytics positions in the state. Technology firms with Northern Virginia offices, including Amazon Web Services and Capital One, also sponsor principal analyst roles, particularly in cloud analytics, business intelligence, and enterprise data functions.
Which visa types realistically fit principal analyst roles in Virginia?
Principal analyst roles typically qualify as specialty occupations requiring a directly related bachelor's degree, making the H-1B visa the most common path. The H-1B is subject to an annual cap and selection process, though cap-exempt employers such as universities and certain nonprofits in Virginia may file outside the lottery. The E-3 visa applies to Australian nationals, and the H-1B1 visa covers Chilean and Singaporean nationals. Employer-sponsored EB-2 or EB-3 green cards are also pursued for permanent residence. TN visa does not cover this role.
How to find principal analyst visa sponsorship jobs in Virginia?
Migrate Mate lists principal analyst positions with verified visa sponsorship history, filtered to Virginia employers in Northern Virginia, Richmond, and beyond. Because federal contracting firms and technology companies dominate Virginia's analytics market, searching by industry sector on Migrate Mate can help identify active sponsors. Roles in defense contracting hubs like McLean, Reston, and Arlington appear frequently, and filtering by employer LCA filing history narrows results to companies with demonstrated sponsorship activity.
Which cities in Virginia have the most principal analyst sponsorship jobs?
Northern Virginia accounts for the highest concentration of sponsored principal analyst positions in the state. Arlington, McLean, Reston, and Tysons Corner host the headquarters and major offices of leading federal contractors and technology companies. Richmond has a growing analytics market tied to financial services and state government contracting. Herndon and Fairfax also see consistent sponsorship activity from mid-size defense and IT firms operating in the broader National Capital Region.
What state-specific factors should principal analysts know about Virginia sponsorship?
Virginia's principal analyst market is closely tied to federal government contracting, which creates sponsorship patterns that differ from purely commercial markets. Many positions require security clearance eligibility, which international candidates on work visas can pursue but may take additional time to process. Virginia's proximity to Washington, D.C. means employers here are often familiar with the LCA filing process, and universities like George Mason and Virginia Tech supply graduate pipelines that have normalized sponsorship practices among local analytics employers.
What is the prevailing wage for sponsored principal analyst jobs in Virginia?
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.