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Banking Data Analyst Jobs in Reston, VA (NOW HIRING)

... data analyst, financial modeler, statistician Good understanding of data management practices ... Services (Banking, Wealth Management, and Capital Markets) business processes and resultant ...

... working as a data analyst, financial modeler, statistician • Good understanding of data ... Services (Banking, Wealth Management, and Capital Markets) business processes and resultant ...

Senior Data Analyst - Retail Bank

Mclean, VA · On-site

$86.90K - $109.70K/yr

... banking (i.e., strategy and deposits, sales and servicing, and lending). As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed ...

Banking and Financial Services Job Category: Data Analytics / Business Intelligence Overview: We are seeking a Senior Technical Data Analyst with strong SQL and data analysis expertise to support key ...

Role- Business Data Analyst Locations- Washington, D.C. (Locals or nearby) Duration- 6+ Months Exp ... Banking Domain * Minimum 8+ yrs. of relevant experience and bachelor's degree plus required ...

Senior Data Analyst

Rockville, MD

$87.70K - $110.70K/yr

... Banking & Financial Services, Transportation, Federal and State Government Agencies. Learn More About ProSidian Consulting at www.ProSidian.com. ProSidian Seeks a Senior Data Analyst (Contract ...

Sales Data Analyst

Arlington, VA

$96.30K - $154.40K/yr

Tell compelling stories with data to drive the adoption of analytical insights. * Ensure that ... Fintech/banking experience is a plus * Familiarity with Sales Processes (lead prospecting, lead ...

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Banking Data Analyst information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do banking data analyst jobs pay per year?

As of May 31, 2026, the average yearly pay for banking data analyst in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What is a Banking Data Analyst job?

A Banking Data Analyst is responsible for collecting, processing, and analyzing financial data to help banks make informed business decisions. They use statistical models and data visualization tools to identify trends, assess risks, and improve operational efficiency. Their role involves working with large datasets, ensuring data accuracy, and providing insights that support regulatory compliance and business growth. Strong analytical skills, proficiency in data tools like SQL and Python, and an understanding of banking operations are essential for this role.

What are the key skills and qualifications needed to thrive in the Banking Data Analyst position, and why are they important?

A Banking Data Analyst needs strong analytical skills, proficiency in statistics, and a background in finance, business, or a related quantitative field. Experience with SQL, Excel, data visualization tools like Tableau or Power BI, and possibly certifications such as CFA or data analytics credentials, is highly valued. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate financial analysis, clear reporting, and the ability to influence decision-making in a fast-paced banking environment.

What types of projects or analyses do Banking Data Analysts typically handle in their day-to-day work?

Banking Data Analysts are often tasked with analyzing large volumes of transaction data to identify trends, forecast financial performance, and support risk management efforts. Their daily work may include preparing regular reports for management, developing dashboards to monitor key metrics, and collaborating with departments like risk, compliance, and marketing to provide actionable insights. They may also participate in projects involving fraud detection, credit scoring, customer segmentation, or regulatory reporting. These responsibilities offer exposure to a wide variety of data-driven initiatives and opportunity to make a direct impact on business strategies.
What are popular job titles related to Banking Data Analyst jobs in Reston, VA? For Banking Data Analyst jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Banking Data Analyst jobs in Reston, VA look for? The top searched job categories for Banking Data Analyst jobs in Reston, VA are:
What cities near Reston, VA are hiring for Banking Data Analyst jobs? Cities near Reston, VA with the most Banking Data Analyst job openings:
Infographic showing various Banking Data Analyst job openings in Reston, VA as of May 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 39% Physical, 3% Hybrid, and 58% Remote job distribution, with an average salary of $85,975 per year, or $41.3 per hour.
Data Analyst (Locals to VA, MD, DC only)

Data Analyst (Locals to VA, MD, DC only)

Tech Rakers

Mclean, VA

Other

Posted 29 days ago


Job description

Data Analyst -- Need Locals to VA, MD, DC

McLean, VA Onsite

Long Term

Feedback on profiles?

  • They are too engineering heavy, and not true DAs
  • Want people that have worked on the business teams, the people we sent are way too heavy on the tech side
  • They profiles were so data pipeline heavy; they want people coming in after the data pipelines are built and taking the data and making business impacts from them

What in the resume is going to stick out

  • True data analysts
  • Would love to see someone who has worked on process report migrations
  • Someone who is working on the business side, what metrics are important
  • Someone who has improved the data quality
  • Don t want to see engineering responsibilities, or pipelining activities

Prior Capital One preferred and Financial Services Required

They want a purely DA profiles coming from the business side

Overview

We are seeking Data Analysts to support a large-scale initiative within a retail banking data organization focused on migrating existing processes to new, centralized data platforms.

This role is less about building new systems and more about understanding, validating, and transitioning existing data workflows to improved data sources to drive adoption across multiple business teams.

________________________________________

Key Responsibilities

  • Analyse and migrate existing SQL/Python-based data processes to new data platforms
  • Validate and reproduce current data workflows to ensure consistency and accuracy
  • Partner with multiple downstream teams to support adoption of centralized data products
  • Troubleshoot data discrepancies and ensure data integrity during migration
  • Support multiple teams by providing reliable, scalable data analysis solutions
  • Document processes and ensure smooth handoff across teams