Data Analytics Manager Visa Sponsorship Jobs in Virginia
Virginia's data analytics manager market spans federal contractors in Northern Virginia, healthcare systems like Inova and VCU Health, and tech firms clustered around Tysons Corner and Reston. Major employers including Booz Allen Hamilton, Leidos, and Capital One have established sponsorship histories for senior analytics roles requiring specialized expertise.
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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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
ROLE AND RESPONSIBILITIES
On a given day you will be:
- Refining a new Enterprise-wide analytical tools validation framework
- Planning and executing validation projects
- Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
- Understanding technical issues in analytical tools and assessing tools risks and opportunities
- Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
- Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
- Leveraging education, colleagues and training opportunities to develop solutions to business problems
- Coaching and mentoring junior staff
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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.
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 5 years of experience performing professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
PREFERRED QUALIFICATIONS
- Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
- At least 7 years of experience in statistical or econometrics hands-on work
- At least 5 years of experience manipulating and performing analysis with large data sets
- At least 5 years of experience in financial services industry
- At least 5 years of experience in developing statistical or econometric models
- At least 5 years of experience in validating statistical or econometric models
- At least 2 years of experience with data governance
- At least 2 years of experience with predictive analytics
LOCATION
McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager
Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager
Riverwoods, IL: $182,500 - $208,300 for Sr. 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).
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 Senior Manager, you will partner cross-functionally with teams throughout the company to validate business impacting analytical tools. You will enhance your technical and analytical skills, while also working with leaders to influence business strategies. With a network of hundreds of Data Analysts, Quants, and Data Scientists, challenging projects with an eye on the bottom line and a focus on work/life balance, we’ve created a dynamic environment with plenty of room for you to learn, grow, and realize your full potential.
ROLE AND RESPONSIBILITIES
On a given day you will be:
- Refining a new Enterprise-wide analytical tools validation framework
- Planning and executing validation projects
- Assessing the quality and risk of analytical tool methodologies across Capital One, and the nature of tools usage within those processes
- Understanding technical issues in analytical tools and assessing tools risks and opportunities
- Independently researching, identifying, and prototyping industry best practices for emerging analytical tools
- Communicating results clearly and concisely both verbally and through written communications via validation reports and presentations
- Leveraging education, colleagues and training opportunities to develop solutions to business problems
- Coaching and mentoring junior staff
An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. 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.
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 7 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus at least 5 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 5 years of experience performing professional data analysis work
- At least 5 years of experience leading and developing with open source data technologies
- At least 2 years of experience managing people
PREFERRED QUALIFICATIONS
- Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field
- At least 7 years of experience in statistical or econometrics hands-on work
- At least 5 years of experience manipulating and performing analysis with large data sets
- At least 5 years of experience in financial services industry
- At least 5 years of experience in developing statistical or econometric models
- At least 5 years of experience in validating statistical or econometric models
- At least 2 years of experience with data governance
- At least 2 years of experience with predictive analytics
LOCATION
McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager
Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager
Riverwoods, IL: $182,500 - $208,300 for Sr. 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 Analytics Manager Job Roles in Virginia
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Search Data Analytics Manager Jobs in VirginiaData Analytics Manager Jobs in Virginia: Frequently Asked Questions
Which companies in Virginia sponsor visas for data analytics managers?
Federal contractors and technology firms lead sponsorship activity for data analytics managers in Virginia. Booz Allen Hamilton, Leidos, General Dynamics IT, and SAIC regularly file H-1B petitions for senior analytics roles. Capital One, Amazon Web Services (with its Northern Virginia operations), and Freddie Mac also appear consistently in Department of Labor disclosure data for data and analytics management positions.
Which visa types are most common for data analytics manager roles in Virginia?
The H-1B is the most common visa category for data analytics managers in Virginia, given the role's requirement for a bachelor's or higher degree in a specialized field such as statistics, computer science, or information systems. L-1A visas apply when a candidate is transferring within a multinational company into a managerial capacity. O-1 visas are less common but used for candidates with documented exceptional achievement in data science or analytics.
Which cities in Virginia have the most data analytics manager sponsorship jobs?
Northern Virginia, particularly the Tysons Corner, Reston, and Arlington corridors, concentrates the highest volume of data analytics manager sponsorship activity, driven by federal contractors and technology firms. Richmond is a secondary market with meaningful opportunities in financial services, notably Capital One's headquarters. Virginia Beach and Charlottesville see more limited sponsorship activity, primarily through healthcare systems and university-affiliated organizations.
How to find data analytics manager visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics manager openings in Virginia without sorting through roles that don't support work authorization. You can filter by location and role type to surface positions from federal contractors, financial services firms, and technology employers across Northern Virginia and Richmond that have documented H-1B sponsorship activity.
Are there any Virginia-specific considerations for data analytics managers pursuing visa sponsorship?
Virginia's concentration of federal contractors introduces a practical consideration: many roles require security clearances, which are generally not accessible to non-U.S. citizens or permanent residents. Candidates on H-1B or other work visas should focus on commercial-facing analytics roles or contractor positions explicitly open to non-cleared candidates. University pipelines through Virginia Tech, George Mason, and UVA also supply talent that some Virginia employers are experienced in sponsoring directly from F-1 OPT status.
What is the prevailing wage for sponsored data analytics manager 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.
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