1

Bank Data Analytics Jobs in Washington (NOW HIRING)

The World Bank Group is a unique global partnership of five institutions driven by a bold vision to ... The unit supports the Integrated Planning Solution, ERP transition, budget reporting, analytics ...

The World Bank Group is a unique global partnership of five institutions driven by a bold vision to ... The unit supports the Integrated Planning Solution, ERP transition, budget reporting, analytics ...

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 ...

Bank is seeking an accomplished Data Warehouse Analyst with database analysis and design experience to contribute toward the success of our technology initiatives. Responsible for managing ...

Showing results 21-40

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 job categories do people searching Bank Data Analytics jobs in Washington look for? The top searched job categories for Bank Data Analytics jobs in Washington are:
What cities in Washington are hiring for Bank Data Analytics jobs? Cities in Washington with the most Bank Data Analytics job openings:
Infographic showing various Bank Data Analytics job openings in Washington 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.

Data Analyst

World Bank

Washington, DC โ€ข On-site

Other

Posted 8 days ago


Job description

Do you want to build a career that is truly worthwhile? The World Bank Group is a unique global partnership of five institutions driven by a bold vision to create a world free of poverty on a livable planet. As one of the largest sources of funding and knowledge for developing countries, we help solve the world's greatest development challenges. When you join the World Bank Group, you become part of a dynamic, diverse organization with 189 member countries and more than 120 offices worldwide. We work with public and private sector partners, invest in groundbreaking projects, and use data, research, and technology to bring tangible and transformative change around the globe. For more information, visitย www.worldbank.org.

VPU Context:ย 

WBG Budget and Procurement supports the World Bank Group's strategic priorities by providing budget, planning, procurement, systems, reporting, analytics, and shared services across the institution. The WBG Centers of Excellence department brings together core budget functions to build a more integrated, data-driven, and client-focused budget function. The department supports One WBG integration, budget reforms, modernized systems, automation, and stronger decision support for senior management and client teams.

Unit Context:ย 

The Budget Solutions unit leads WBG-wide budget systems, data, reporting, knowledge, and technology-enabled solutions. The unit supports the Integrated Planning Solution, ERP transition, budget reporting, analytics, automation, and client-facing digital products. The Systems, Data and Reporting team will help strengthen data governance, reporting quality, self-service analytics, process automation, and AI-enabled tools to improve decision-making and service delivery across WBP and its clients.

Duties and accountabilities

Support business stakeholders and technical teams in identifying data needs, reporting gaps, and opportunities to improve budget analytics and client service delivery.

Extract, clean, validate, and organize structured and unstructured datasets from relevant WBP systems and data sources, ensuring accuracy, completeness, and timeliness.

Conduct exploratory data analysis and prepare clear summaries, visualizations, dashboards, and recurring reports using tools such as Power BI, Tableau, SQL, Python, or R.

Contribute to the development, testing, and documentation of predictive models, reporting tools, mobile applications, and AI-enabled solutions under the direction of senior colleagues.

Maintain and update standard reports, dashboards, datasets, and model outputs, escalating data quality issues and supporting routine validation and troubleshooting.

Assist with user testing, documentation, and knowledge sharing to help business users interpret reports and apply data insights in day-to-day decision-making.