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Bank Data Analytics Jobs in Virginia (NOW HIRING)

Stbancorp

$48K - $115K/yr

Develops an effective working knowledge of the underlying bank data, effectively navigating, with limited direction, the Bank's data to deliver analytical assignments. Effectively leverages ...

AaraTechnologies Inc

DATA ANALYST

Virginia Beach, VA · On-site

Ideal for early-career professionals in financial analytics. Key Responsibilities * Analyze banking and transaction data * Create dashboards using Tableau or Power BI * Write SQL queries for data ...

Capital One

Senior Data Analyst - Retail Bank

Mclean, VA · On-site

$86K - $109K/yr

Senior Data Analyst - Retail Bank At Capital One, data is at the center of everything we do. When ... analytics, or currently has, or is in the process of obtaining a Master's Degree with an ...

Capital One

Senior Data Analyst - Retail Bank

Mclean, VA

$86K - $109K/yr

Senior Data Analyst - Retail Bank At Capital One, data is at the center of everything we do. When ... analytics, or currently has, or is in the process of obtaining a Master's Degree with an ...

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All JobsBank Data Analytics JobsBank Data Analytics Jobs in Virginia

Bank Data Analytics information

How does a Bank Data Analytics professional typically collaborate with other departments within a financial institution?

Bank Data Analytics professionals work closely with various departments such as risk management, marketing, compliance, and IT. They translate complex data sets into actionable insights, guiding strategic decisions and helping teams understand customer behavior, detect fraud, and ensure regulatory compliance. Regular cross-functional meetings and project-based collaborations are common, allowing analytics professionals to align data-driven recommendations with business goals and operational needs. This collaborative structure enhances communication, streamlines workflow, and maximizes the value of data across the organization.

What is bank data analytics?

Bank data analytics is the process of collecting, processing, and analyzing large volumes of data generated by banking transactions and operations. It helps banks gain insights into customer behavior, detect fraud, manage risks, and improve decision-making. By leveraging advanced analytical tools and techniques, banks can enhance customer experiences, increase efficiency, and develop data-driven strategies for growth. Bank data analytics professionals work with big data, machine learning, and statistical models to extract meaningful patterns and support business objectives.

What does a data analyst do at a bank?

A data analyst at a bank collects, processes, and analyzes financial data to identify trends, support decision-making, and improve operational efficiency. They often use tools like Excel, SQL, and data visualization software, and must have strong analytical skills and understanding of banking operations.

What is data analytics in banking?

Data analytics in banking involves examining large sets of financial data to identify patterns, trends, and insights that support decision-making, risk management, and customer service. Bank data analysts use tools like SQL, Excel, and data visualization software to interpret data and improve operational efficiency and compliance.

What is the difference between Bank Data Analytics vs Bank Data Analyst?

AspectBank Data AnalyticsBank Data Analyst
Required SkillsData analysis, statistical modeling, programming (SQL, Python)Data analysis, reporting, basic statistical skills
Work EnvironmentData teams, analytics departments within banksBank branches, finance departments, risk management teams
CertificationsData analytics certifications, SQL, Python coursesFinance or banking certifications, possibly data skills
Industry UsageFocus on developing analytics models and insightsFocus on interpreting data for decision-making

Bank Data Analytics involves advanced data modeling and technical skills to develop insights, while a Bank Data Analyst primarily interprets data to support banking operations. Both roles require analytical skills, but Bank Data Analytics is more technical and model-driven, whereas Bank Data Analyst focuses on reporting and data interpretation within banking environments.

What are the key skills and qualifications needed to thrive as a Bank Data Analytics professional, and why are they important?

To thrive as a Bank Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a solid background in finance or economics, often supported by a relevant degree. Expertise in data analysis tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI, as well as knowledge of data governance frameworks, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills are crucial for driving data-informed decisions that enhance financial performance and risk management in the banking sector.

Can a data analyst work in banks?

Yes, data analysts can work in banks, where they analyze financial data, customer information, and transaction patterns to support decision-making and risk management. Skills in SQL, Excel, and data visualization tools are commonly required, along with knowledge of banking regulations and financial concepts.

What is the salary of data analyst in JP Morgan?

A data analyst at JP Morgan typically earns between $60,000 and $90,000 annually, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes bonuses and benefits aligned with industry standards for financial institutions.
What are popular job titles related to Bank Data Analytics jobs in Virginia? For Bank Data Analytics jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Bank Data Analytics jobs in Virginia look for? The top searched job categories for Bank Data Analytics jobs in Virginia are:
What cities in Virginia are hiring for Bank Data Analytics jobs? Cities in Virginia with the most Bank Data Analytics job openings:
Bank Data Analytics jobs near you
Infographic showing various Bank Data Analytics job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data & Analytics Senior Analyst

Stbancorp

$48K - $115K/yr

Full-time

Posted 19 days ago

Job description

Location:

800 Philadelphia Street

Indiana, Pa 15701

or

358 N Shore Drive
Pittsburgh, Pa 15212


Hours:

Monday - Friday: 8AM-5PM

(Additional hours as necessary to meet the objectives of the department)

Function: The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting, dashboard development, predictive analytics, and ad hoc projects while serving as a subject matter expert for designated reports/data.

Duties and Responsibilities:

Delivers analytical solutions, in a timely and accurate manner, with some direction from their respective Team Leader, that address the needs of their assigned business partner(s).

Accountable for the ongoing production and maintenance of reports and dashboards within an independent capacity and with minimal oversight; serves as a subject matter expert for designated reports/data and responds efficiently to end user questions.

Acquires knowledge and expertise to builds an increasing understanding of assigned business areas with an increased focus on identifying opportunities to further create value through applied analytics.

Effectively collaborates and communicates with business partners, focusing on conveying outcome-based results from the gathering and reporting of analytics.

Develops an effective working knowledge of the underlying bank data, effectively navigating, with limited direction, the Bank's data to deliver analytical assignments.

Effectively leverages analytical platforms (e.g., BIC, Tableau) to efficiently fulfill analytical assignments; increasingly applies advanced analytical techniques in support of predictive analytics and makes recommendations to further enhance dashboards and reporting capabilities.

Demonstrates a deep understanding of the inherent risk of managing data assets and ensures compliance of appropriate bank policies and regulatory requirements while delivering business results.

Maintains a good working relationship with Bank employees. Demonstrates a strong ability to work independently, as well as motivated to work as a team player to contribute to the success of the department and in turn, the organization.

Performs additional duties as assigned.

Education:

Requires a four-year degree in data science, computer science, applied mathematics, statistics, business, economics, and/or quantitative discipline preferred.

Experience:

Two to five years general experience with two to five years specialized experience in analytics and financial services.

Physical Demands:

Operates a keypad device: 90% of the day; operates office equipment: 90% of the day. Must be able to occasionally lift and/or move up to 10 lbs. Use of manual dexterity skills for typing up to 90% of the business day. Specific vision requirements include close vision of 18"-20", distance vision and depth perception for computer work. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Salary Range:

$48,000.00 - $115,500.00

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