OPT Data Analytics Intern Jobs
Data Analytics Intern roles are among the most OPT-friendly positions available, with F-1 students in STEM fields qualifying for up to 36 months of work authorization. Employers across tech, finance, and healthcare regularly hire OPT students for data roles requiring Python, SQL, and visualization skills.
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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 890+ OPT Data Analytics Intern Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Data Analytics Intern
Lead with your technical stack
Hiring managers for analytics internships screen resumes fast. List Python, SQL, R, Tableau, or Power BI prominently at the top. Specific tools signal immediate productivity and reduce perceived onboarding risk for employers hiring OPT students.
Target STEM-designated employers first
Data Analytics Intern roles at companies with established STEM OPT hiring programs move faster and with less friction. Look for employers who have filed H-1B visa petitions before, as they understand work authorization timelines and are less likely to withdraw offers.
Address OPT timing early in the process
Clarify your OPT start date and authorization period before the offer stage. Employers appreciate transparency. Knowing your exact work authorization window helps hiring managers plan project timelines and align internship dates with your EAD card validity.
Quantify your analytics projects
Vague resume entries lose attention. Replace bullet points like 'analyzed data' with specific outcomes: rows processed, accuracy improvements, or dashboards built. Concrete numbers make your technical contributions legible to non-technical recruiters reviewing your application.
Prioritize companies with structured internship programs
Large organizations with formal internship pipelines have HR teams familiar with OPT paperwork. Smaller startups may offer great experience but sometimes lack the infrastructure to process EAD documentation quickly, which can delay your start date.
Apply before your OPT authorization begins if possible
Many employers hire interns one to two months before the intended start date. Submitting applications while your EAD application is pending, not yet approved, is standard. Just be clear about your anticipated authorization date during the interview process.
Data Analytics Intern OPT: Frequently Asked Questions
Can I work as a Data Analytics Intern on OPT?
Yes, provided your internship is directly related to your degree field. A computer science or statistics graduate working in data analytics qualifies. The role must connect to your major, so keep documentation of how your degree aligns with the position in case your DSO or employer requests it.
Does a Data Analytics Intern role qualify for STEM OPT extension?
It can, if your degree is in a STEM-designated field such as computer science, mathematics, statistics, or information systems, and the employer is enrolled in E-Verify. The role must use skills directly tied to your STEM degree. Confirm your degree's CIP code with your DSO before applying for the 24-month extension.
How do I find Data Analytics Intern roles that actively hire OPT students?
Migrate Mate filters job listings specifically for OPT-friendly employers, so you can search Data Analytics Intern roles without wading through postings that exclude international students. This saves time and surfaces companies with a track record of hiring F-1 students on work authorization.
What should I do if an employer says they don't sponsor visas for an internship?
OPT does not require employer sponsorship, it is your own independent work authorization. Many employers conflate OPT with H-1B sponsorship. Clarify that you already have, or will have, an Employment Authorization Document and that the employer does not file any petition or pay any government fees on your behalf.
How many hours per week can I work as a Data Analytics Intern on OPT?
During post-completion OPT, you must work at least 20 hours per week to maintain valid status. There is no maximum hour cap, so full-time internships are fine. During pre-completion OPT while school is in session, you are limited to 20 hours per week. Confirm your OPT type with your DSO before accepting an offer.