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Data Analyst Fintech Jobs in Virginia (NOW HIRING)

Manage and analyze the full growth stack , using data to drive decisions on product positioning and ... within the fintech, crypto, or AI sectors. * Proven experience leading user acquisition ...

Strong analytical skills and the ability to translate data into actionable insights. * Excellent ... Experience in the blockchain or DeFi sector is preferred but fintech, finance, consumer application ...

... 66th on FinTech 100 * 35th among top private companies in New Jersey Collabera recognizes true ... Strong data analysis and problem solving skills. Ability to analyze business requirements and ...

We're building one of the world's leading fintech companies and are off to a strong start: * One of ... Be hands-on with data . You will drive your own analysis, uncover insights, and generate ...

Senior Security Engineer

Mclean, VA · On-site

$116K - $159K/yr

... analyzing and exploiting web application vulnerabilities • Strong understanding of threat actor ... data extraction • Fintech or financial services security experience • Experience building ...

Senior Security Engineer

Mclean, VA · On-site

$116K - $159K/yr

... analyzing and exploiting web application vulnerabilities • Strong understanding of threat actor ... data extraction • Fintech or financial services security experience • Experience building ...

Showing results 41-60

Data Analyst Fintech information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data analyst fintech jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst fintech in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

Is a data analyst a fintech job?

A data analyst in fintech is a role that involves analyzing financial data to support decision-making, often using tools like Excel, SQL, and data visualization software. This position typically requires understanding financial concepts and may involve working with financial transactions, risk assessment, or customer data within the financial technology industry.

What does a data analyst do in fintech?

A Data Analyst in Fintech collects, processes, and analyzes financial data to uncover trends, optimize business decisions, and improve financial services. They work with big data, statistical models, and visualization tools to provide insights that drive product development, risk management, and customer experience. Their role often involves working with machine learning, SQL, Python, and BI tools to extract meaningful patterns from financial transactions, user behavior, and market trends.

What are the key skills and qualifications needed to thrive as a data analyst in fintech?

To thrive as a Data Analyst Fintech, a strong foundation in data analysis, statistical modeling, and financial acumen—often backed by a relevant degree such as in mathematics, statistics, finance, or computer science—is essential. Proficiency with analytical tools like SQL, Python, R, and specialized fintech platforms as well as certifications like CFA or data analytics certificates is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills differentiate top performers, enabling them to present complex findings clearly. These skills are crucial for extracting actionable insights from financial data and supporting data-driven decision-making in the rapidly evolving fintech industry.

What types of teams or departments do data analysts typically collaborate with in a fintech company?

Data Analysts in fintech companies frequently work alongside product development, engineering, risk management, and business strategy teams to analyze data and provide actionable insights. Their work often contributes to fraud detection, customer experience optimization, and financial forecasting, requiring close communication with both technical and non-technical stakeholders. Collaboration is key, as insights generated by data analysts often guide the direction of products and services and influence important business decisions. This cross-functional interaction not only broadens professional experience but also provides opportunities for career growth within different areas of the fintech sector.

What are the most commonly searched types of Data Analyst Fintech jobs in Virginia? The most popular types of Data Analyst Fintech jobs in Virginia are:
What job categories do people searching Data Analyst Fintech jobs in Virginia look for? The top searched job categories for Data Analyst Fintech jobs in Virginia are:
Infographic showing various Data Analyst Fintech job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Senior Business Manager-Network Product and Platform Analytics

Capital One

Richmond, VA • On-site

$125K - $165K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Senior Business Manager-Network Product and Platform Analytics

Summary: As a Senior Manager, Business Analysis at Capital One, you will apply your strategic and analytical skills to major company challenges. You will lead and team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you'll do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.

This role sits within the Discover Network Platforms & Products (NPP) team. As the Senior Manager for NPP Analytics you will sit at the intersection of data science, product strategy, and platform operations. You will lead the charge in transforming network data into actionable, AI-enabled insights that drive the evolution of our global payment network. Operating within the Platform Ops Tower, you will partner with world-class product and engineering teams. If you are a strategic thinker who thrives on using data to solve complex financial architecture problems and design proactive business strategies and has prior experience in the Payments, FinTech, or Network ecosystem (specifically understanding authorization, clearing, and settlement flows) along with exposure to and practical experience leveraging generative AI tools and LLMs (e.g., for code generation, data synthesis, or workflow automation) to accelerate the creation of analytical assets, this role is for you.

General Responsibilities:

  • Strategic Platform Leadership: Develop data-driven analytical assets and predictive strategies that drive the growth, reliability, and competitive success of the Global Payment Network (GPN) platforms amidst shifting market and regulatory landscapes.

  • Business & Operational Ownership: Maintain an ownership mindset for the data integrity and analytical health of assigned platform domains. Lead strategic operational planning with a rolling 1-to-6-month horizon.

  • Leadership: May manage and develop a team of analysts. Coaching and mentoring associates throughout the organization with a goal of developing and retaining talent at Capital One

  • Product: Develop and partner with product to implement new product and feature strategies across network products and platforms; lead product level modeling/analytics/hypothesis testing; may lead development of 1-2 data products or contribute to data product strategy for GPN

  • Execution: Coordinate across Network product teams to translate business intent into technical requirements for analytical assets. Oversee multiple concurrent data projects, ensuring alignment with the broader network analytics strategy.

  • Partnership: Work closely with colleagues across Capital One including: Product, Tech, Sales, Operations, Finance and others to drive improvement in quality, volume, service, and profitability

  • Strategic & analytic orientation: Demonstrate a proven track record of complex problem-solving using advanced analytics. Conceptual thinking must be paired with strong quantitative skills, as success in this role relies on rigorous data analysis and platform metrics management.

  • Strong business judgment, leadership and integrity: He/she should be a tenacious decision maker, able to bring a healthy, aggressive, yet responsible approach to business

  • Solid people leadership experience: Ability to build and leverage the capabilities of a high-performing team, as well as business partners across the enterprise. He/she should foster innovation, drive critical decisions, hold business partners accountable, and be able to consistently deliver results

  • Strong executive communication skills: Impeccable written and oral communication credentials, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills

  • Clear results orientation: display an intense focus on achieving both short and long term goals. He/she should be able to drive and execute an agenda in an uncertain and fluid environment

  • Successful track record of thriving in a fast paced, entrepreneurial and dynamic environment. Previous consulting experience is a plus

Basic Qualifications:

  • Bachelor's Degree

  • At least 3 years of experience performing quantitative analysis

  • At least 3 years of experience performing qualitative analysis

  • At least 1 year of experience performing people management

  • At least 1 year of experience performing project management

Preferred Qualifications:

  • Master's Degree in Business or quantitative field such as Finance, Economics, Physical Sciences, Math, Statistics, Engineering

  • 5+ years of experience in quantitative analysis

  • 5+ years of experience in qualitative analysis

  • 2+ years of experience in people management

  • 2+ years of experience in product development

  • 2+ years of experience in financial modeling

  • 2+ years of experience in economic forecasting

  • 2+ years of experience in project management

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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: $200,700 - $229,100 for Sr. Business Manager


New York, NY: $219,000 - $249,900 for Sr. Business Manager


Richmond, VA: $182,500 - $208,300 for Sr. Business 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 theCapital 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).


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