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Bank Data Analytics Jobs in Virginia (NOW HIRING)

DS Technologies Inc

Technical Data Analyst

Mclean, VA · On-site

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 ...

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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 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.
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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Analytics Engineer

Thomas Edwards Group

Midlothian, VA

$100K - $136K/yr

Full-time

Posted 25 days ago

Job description

Sr. Data Analytics Engineer 10874

A growing organization is seeking a Senior Analytics Engineer to lead the modernization of its enterprise data platform. This individual will evaluate, design, and implement a scalable data warehouse architecture while consolidating legacy reporting systems into a governed, centralized environment.

This is a hands-on technical role responsible for building and owning the organization's analytics platform, data pipelines, governance framework, and Power BI reporting environment. The position will partner with internal stakeholders and external resources during a knowledge transfer period before assuming full ownership of the function.

Key Responsibilities
  • Evaluate and implement a modern cloud data platform (e.g., Microsoft Fabric, Snowflake, Azure Synapse, Databricks, or similar).
  • Design and maintain ETL/ELT pipelines integrating data from multiple ERP and business systems.
  • Develop scalable data models and establish enterprise data standards and governance.
  • Standardize reporting using Power BI and retire legacy reporting tools.
  • Manage data security, access controls, and documentation.
  • Partner with business and technical stakeholders to deliver reliable, reusable reporting solutions.
  • Support ERP initiatives and integration of newly acquired business units.
Qualifications

Required

  • 5+ years of analytics or data engineering experience.
  • Hands-on experience building modern data warehouse solutions.
  • Strong ETL/ELT, SQL, data modeling, and Power BI expertise.
  • Experience implementing data governance and data quality practices.
  • Ability to evaluate technology platforms and recommend scalable solutions.
  • Experience working with complex, multi-source or multi-entity data environments.

Preferred

  • Experience with ERP systems such as Sage 100, Acumatica, or similar.
  • Python or other scripting experience for automation.
  • Experience modernizing legacy data environments or bringing outsourced analytics capabilities in-house.
  • Experience in acquisition-focused or high-growth organizations.

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Company Description

Thomas Edwards Group is an Executive Search Firm specializing in the direct hire and interim placement of Accounting, Finance, HR and IT professionals. We’ve been in business since 1997 and the Dallas Business Journal has ranked us a Top Search Firm in Dallas and one of the “Best Places to Work” multiple times. Thomas Edwards Group also made the Inc. 5000 list in 2016 and our award-winning team of Search Consultants, which rank among the best and most experienced in the area, includes MBAs, CPAs, former Big 4 Professionals, Controllers, IT Search Professionals, Finance/Banking, and Business Professionals.