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Data Analyst Fintech Jobs in Virginia (NOW HIRING)

... Analyst and Data Science) for a cutting-edge fortune 100 FinTech Firm. You will also be responsible for developing and maintaining relationships with hiring managers, building a strong candidate ...

New

We're building one of the world's leading fintech companies and are off to a strong start: * One of ... Build the best technology in-house , using new data sources, machine learning and AI to make ...

... and data as directed • Be an active part of a collaborative team and share best practices • ... FinTech experience • BS or BA • An interest in the tech industry and/or consumer fintech ...

Responsibilities : • Develop and deploy machine learning and AI models for predictive analytics ... fintech, or e-commerce. Company : Founded and incorporated in 2012 , Info Way Solutions is an ...

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... Familiarity with regulatory requirements and compliance standards within the fintech industry (for ...

Maintain success metrics and data as directed * Be an active part of a collaborative team and share ... SaaS startup or FinTech experience preferred * Strong problem-solving and written communication ...

Experience using AI/LLM tools to enhance data analysis and investigations, with demonstrated ability to validate and apply outputs effectively Preferred Qualifications * Experience at a fintech ...

Product Analyst

Arlington, VA · On-site

$116 - $135.50/hr

Represent the voice of the customer in product discussions, translating research and data into ... within fintech, e‑commerce, or similar industries. * Experience owning a product area or ...

It's a builder role with a hard data and AI core, and it's the on-ramp for our next generation of ... within fintech, e-commerce, or similar industries. Where This Role Leads: This is designed as a ...

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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 28, 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.

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:

Infographic showing various Data Analyst Fintech job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Senior Recruiter - Data & Analytics

Mclean, VA • On-site

Dexian
1 - 5K employees

Other

Posted yesterday

New


Job description

Senior Recruiter - Data Science, Quantitative, Data Analyst

As a Senior Recruiter, you will be responsible for sourcing, screening, and interviewing top technical talent (Data Analyst and Data Science) for a cutting-edge fortune 100 FinTech Firm. You will also be responsible for developing and maintaining relationships with hiring managers, building a strong candidate pipeline, and ensuring that we hire the best possible candidates to meet our client’s needs.


Responsibilities:

  • Manage the full lifecycle recruiting process; This will include creating compelling position descriptions, sourcing diverse candidate pipelines, marketing the talent brand to attract top talent, screening candidates, advising hiring managers on the recruiting process, and negotiating job offers
  • Source stellar candidates; Look beyond direct applications and leverage search engines, career sites, recruiting events, and other innovative sourcing techniques to find the best talent in the market
  • Provide a great end-to-end recruiting experience for candidates and hiring managers
  • Advise clients and leadership on market trends and recommend more effective ways to attract and recruit great talent
  • Develop candidate pipeline strategies to fill open positions (i.e., talent marketing, LinkedIn sourcing, referrals, etc.)
  • Consult with hiring managers on their talent needs
  • Building and maintaining relationships with clients and candidates
  • Deep sourcing using LinkedIn Recruiter and other unique strategies
  • Provide recruiting services in accordance with our recruiting process, standards, and systems
  • Manage recruiting process for "high level" difficult positions, specialty positions, broad client groups, highly technical client groups, or complex track recruiting
  • Self-directed execution of the full life cycle recruiting process with an emphasis in meeting time-to-fill goals
  • Develop an effective sourcing strategy to provide a continuous flow of quality and quantity of candidates for the pipeline
  • Possess strong candidate and client management skills, with a proven ability to influence
  • Develop and execute strategies autonomously to include networking, call lists, niche social networking, and general industry knowledge
  • Acts as a recruiting partner and a subject matter expert to business leadership, hiring managers and other key stakeholders
  • Identify 'root cause' solutions to complex recruiting issues and ability to implement solutions that will mitigate immediate problems and future potential issues
  • Address ambiguous situations or challenges and respond accordingly, drawing on one’s subject matter expertise, skills, and abilities
  • Screens and counsels candidates, coaches the hiring team, and negotiates the close
  • Effectively facilitate formal consensus meetings with the hiring team
  • Independent involvement when developing and executing strategies
  • Practice attention to detail and flawless execution of requisition processing
  • Proven ability to function effectively in a fast-paced environment


Qualifications:

  • Bachelor's degree
  • 3+ years of full life cycle recruiting experience required
  • 5+ years full life cycle recruiting experience preferred
  • Data Analyst and Data Science recruiting highly preferred
  • 2+ years of experience in Recruiting Strategy: Collaborate with recruiting managers and peers to develop and implement recruiting strategy
  • Professional Human Resources (PHR) certification preferred
  • Must be able to be full desk and source their own candidates
  • Must be able to manage the day and maintain candidate relationships
  • Influential communicator, both verbal and written
  • Ability to work independently to meet hiring needs/produce results
  • Ability to influence and drive results in a fast-paced environment
  • Ability to use innovative techniques to attract and recruit diverse talent
  • Experience in compensation and general HR requirements as related to hiring


Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.