Sr. Business Data Analyst

Virginia Housing Development Authority•Richmond, VA

19h•$95,000 - $128,000•Hybrid

About The Position

The Sr. Business Data Analyst serves as an expert advocacy and translation layer between core business divisions and the technical implementation of data solutions. The role provides strategic, analytical, and technical support for data and analytics activities, including data analysis, usage requirements, reporting, and integration-intensive initiatives that drive business outcomes. The analyst uses data and technology tools to identify business opportunities and potential technical solutions, present insights to stakeholders, identify data-related challenges and opportunities, initiate data project requests, influence project decisions, assess solution risks, and help prioritize competing business demands. The analyst works with business partners to elicit high-level requirements, capture business needs, understand customer journeys, define user requirements, and prioritize needs across projects based on business impact. The role uses modern data and analytics tools to gather data, analyze problems, contribute to solution designs, monitor progress, and facilitate delivery. Virginia Housing is a housing finance agency whose mission is to help Virginians attain quality, affordable housing through public-private partnerships. The organization describes its workforce as focused on employee engagement and committed to a healthy and diverse workforce. Associates are required to live and work within the Commonwealth of Virginia. A background check and conflict-of-interest and secondary-employment disclosure forms are conditions of employment. The position closes at midnight on 11/6/2026. Hiring range: $95,000–$128,000.

Requirements

Bachelor's degree in computer science, business administration with a data engineering focus, or equivalent experience.
Several years of experience in data and analytics and delivering business value through focused data initiatives.
Experience contributing to data quality, master data, data cataloging, and advanced analytics disciplines; three to five years of experience is preferred.
A few years of experience in technology architecture, operations, and design-related disciplines.
Expert knowledge of data analysis and usage requirements assessment and recording.
Strong understanding of data and integration architectures.
Ability to influence and engage data developers and business partners to achieve target outcomes.
Ability to guide solution design and architecture to meet business needs.
Proficiency with modern on-premises and cloud data and analytics tools.
Good understanding of Data Management Body of Knowledge principles from DAMA or similar industry data and analytics leaders.
Excellent verbal and written communication skills.
Self-starter with the ability to multitask, adapt quickly, learn independently, and complete projects on short iterative timelines.
Knowledge of modern cloud data analytics technologies, preferably Microsoft-based.
Ability to deliver presentations to senior-level business leaders and technical audiences.
Must live and work within the Commonwealth of Virginia.
Successful background check and completion of conflict-of-interest and secondary-employment disclosure forms are conditions of employment.

Nice To Haves

Master’s degree.
Three to five years of experience contributing to data quality, master data, data cataloging, and advanced analytics disciplines.
A Data Management, Data Analytics, Data Engineering, Business Intelligence, or similar certification from a reputable institution.
Knowledge of financial or mortgage business data analysis and processes.
Knowledge of Microsoft-based cloud data analytics technologies.

Responsibilities

Bridge business divisions and technical teams in translating business requirements into data solutions.
Provide strategic, analytical, and technical support for data and analytics activities.
Conduct data analysis and assess and record data usage requirements.
Support data reporting and integration-intensive initiatives.
Use data and technology tools to identify business opportunities and potential technical solutions, and present insights to stakeholders.
Identify data and analytics challenges and opportunities, initiate data project requests, and engage business partners to influence project decisions.
Assess risks of potential solutions and help prioritize competing business demands.
Elicit high-level requirements and capture business needs with business partners.
Understand customer journeys and define user requirements.
Prioritize needs within and across projects based on business impact.
Use modern data and analytics tools to gather data, analyze problems, contribute to designs, monitor progress, and facilitate delivery of data solutions.
Guide solution design and architecture to meet business needs.
Deliver presentations to senior-level business leaders and technical audiences.