OPT Data Analyst Jobs
Data analyst roles are among the most accessible for OPT students because the analytical and technical skills developed in STEM programs align directly with employer needs, and demand for data professionals remains high across virtually every industry. Most data analytics degrees and related STEM programs qualify for the 24-month STEM OPT extension, giving graduates meaningful time to build a record with an employer before H-1B visa sponsorship becomes necessary.
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Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting
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.
Join the Analytics & Transformation team and help shape the future of data management at Capital One. You’ll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You’ll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
What You’ll Do:
- Partner across LOBs to define, standardize, and publish enterprise data risk metrics.
- Build and evolve dashboards and data products that provide visibility into data management and governance.
- Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders.
- Translate evolving data policies and requirements into meaningful metrics and monitoring.
- Use AI to automate and transform how we create, manage, and consume data risk metrics.
- Lead cross-functional initiatives and influence stakeholders without direct authority.
- Present insights and recommendations to VP+ leaders and executives across Capital One.
- Challenge the status quo and help shape the long-term strategy for data management.
WHY THIS ROLE MATTERS
Your work will directly influence how Capital One measures and improves the health of its data. You’ll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- 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
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
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 Business Intelligence component and those with a BI background are strongly encouraged to apply.
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 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
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.
McLean, VA: $164,800 - $188,100 for 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
Data Analysis Manager - Office of the Chief Data Officer, Central Analytics and Reporting
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.
Join the Analytics & Transformation team and help shape the future of data management at Capital One. You’ll sit at the heart of our enterprise-wide data strategy, partnering with Data Managers, Product Managers, Engineers, Risk Managers, Business Analysts, and executives to define, standardize, and deliver the metrics that measure the health of our data. You’ll turn data risk metrics into insights and action, evolve our measurement capabilities as policies and business needs change, and serve as a strategic thought partner to stakeholders and senior leadership.
ROLE AND RESPONSIBILITIES
What you’ll do:
- Drive current and future strategy by leveraging your analytical skills
- Assist with building and using models to test and validate data
- Work with vast amounts of data in new and evolving environments
- Be a part of growing and developing our brand in new and emerging markets
- Leverage analytics to create a customer experience above our peers
- Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
- Be a part of the full life cycle of projects and see end results
- Collaborate across business units
- Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
What You’ll Do:
- Partner across LOBs to define, standardize, and publish enterprise data risk metrics.
- Build and evolve dashboards and data products that provide visibility into data management and governance.
- Monitor metrics, identify emerging risks and trends, and generate actionable insights for leaders.
- Translate evolving data policies and requirements into meaningful metrics and monitoring.
- Use AI to automate and transform how we create, manage, and consume data risk metrics.
- Lead cross-functional initiatives and influence stakeholders without direct authority.
- Present insights and recommendations to VP+ leaders and executives across Capital One.
- Challenge the status quo and help shape the long-term strategy for data management.
WHY THIS ROLE MATTERS
Your work will directly influence how Capital One measures and improves the health of its data. You’ll gain broad executive visibility, deliver measurable impact on critical risk outcomes, and become a key thought leader in making our data well-managed and easy to govern.
On any given day you will be:
- Mining data to arrive at specific and crucial information for the organization
- 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
- Extracting and analyzing data to gauge product offerings
- Consulting on the design and implementation of new production and data storage systems
- Developing and implementing strategic tests of products, initiatives and marketing materials
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 Business Intelligence component and those with a BI background are strongly encouraged to apply.
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 6 years of experience performing data analytics, or
- Master’s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
- At least 4 years of experience performing professional data analysis work
- At least 4 years of experience performing programming
PREFERRED QUALIFICATIONS
- Master’s Degree in a Science, Technology, Engineering, Mathematics discipline
- At least 7 years of professional data analysis work experience
- At least 4 years of experience with Python, R, Spark or SQL
- At least 1 year of experience in people management
- At least 1 year of project management experience
- At least 1 year of experience in Tableau
- Proficient utilizing and developing within AWS service
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.
McLean, VA: $164,800 - $188,100 for 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).
See all 950+ OPT Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Data Analyst Jobs.
Get Access To All JobsData Analyst OPT Job Search Tips
Data analyst roles are among the most accessible for OPT students
Statistics, data science, information systems, and business analytics degrees are all STEM-classified, and data analyst roles align well with these fields. This combination makes data analysis one of the most accessible career paths for OPT students seeking STEM OPT extension eligibility.
Confirm your degree field aligns with the specific role
OPT requires that your work be directly related to your degree. A statistics or data science graduate working as a data analyst has a clear connection. A business degree graduate should confirm the connection with their DSO, particularly if the role is more operational than analytical.
E-Verify enrollment is essential if you want STEM OPT
Many companies that hire data analysts are E-Verify enrolled, but smaller startups and agencies may not be. Confirming E-Verify status before accepting an offer protects your ability to extend your work authorization and pursue H-1B visa sponsorship.
Build a portfolio that demonstrates end-to-end analysis
U.S. employers hiring data analysts want to see your ability to work with real data, draw conclusions, and communicate findings. A portfolio with documented projects covering data cleaning, analysis, and visualization is one of the strongest things you can bring to an interview.
Technology and financial services are strong sectors for OPT data analysts
Both sectors hire data analysts frequently, have E-Verify enrollment, and are active H-1B sponsors. If your goal is long-term status in the U.S., targeting companies in these sectors gives you both near-term employment and a clearer long-term path.
Ask about H-1B sponsorship before you’re deep in the process
Data analyst roles are commonly sponsored for H-1B visas, particularly at technology and consulting firms. Asking about a company’s sponsorship history early is straightforward and helps you focus on employers who can actually support your long-term plans.
Data Analyst OPT: Frequently Asked Questions
Do data analyst jobs qualify for STEM OPT?
Yes, data analyst roles draw directly on technical STEM degrees in data science, statistics, computer science, mathematics, and related fields. As long as your employer is E-Verify enrolled and your role connects to your degree program, data analyst positions qualify for the STEM OPT extension. Your DSO can confirm whether your specific degree is on the STEM Designated Degree Program list if you are unsure.
Which industries hire data analysts on OPT most consistently?
Technology, financial services, consulting, healthcare analytics, retail, and e-commerce are the sectors with the highest volume of OPT data analyst hiring. Large companies in these industries have established data teams and recurring graduate hiring needs. Consulting firms that build analytics solutions for clients are also consistent OPT hirers and often have structured programs for converting analysts to H-1B.
What skills matter most for data analyst OPT roles?
SQL is the foundational requirement for almost every data analyst role. Python or R for statistical analysis, data visualization tools like Tableau or Power BI, and familiarity with Excel or Google Sheets round out the core toolkit. Experience with cloud data platforms such as BigQuery, Redshift, or Snowflake is increasingly valued. Building a portfolio of projects that demonstrates these skills in practice, even from academic work, significantly strengthens your application.
Is a data science degree better than a statistics degree for getting OPT jobs as a data analyst?
Both are strong foundations and both are typically STEM-eligible. Employers are more focused on your technical skills and portfolio than on the precise degree title. A statistics graduate with strong Python skills and data project experience is just as competitive as a data science graduate. Highlighting the practical applications of your degree in your application materials matters more than the degree name itself.
How competitive is the data analyst job market for OPT students?
Data analytics is one of the most competitive entry-level fields overall, but OPT students with strong technical skills remain attractive candidates to employers who understand the process. Focusing on companies with a history of hiring F-1 graduates, building a strong portfolio of projects, and applying to roles where your specific technical background matches the job description closely improves your outcomes significantly.