FM Talent Source is an enterprise that provides business and workforce solutions to help organizations nationwide overcome business challenges. Our clients include federal, state and local government agencies, Fortune 500 Companies, and non-profit organizations. Founded in 2004, we have a strong history of providing recruitment strategies and utilizing effective project and quality management methodologies to ensure our clients success.
We are seeking one Data Analyst for a full-time contract opportunity with FM Talent Source for one of our valued clients.
The Data Analyst – Solution Architecture Support will provide analytical, documentation, data modeling, and data-driven decision support for a large-scale agile software development and platform modernization program supporting the GrantSolutions contract. This role will work closely with the Solution Architect, Product Owners, engineering teams, enterprise architects, data architects, vendors, and Federal stakeholders to analyze current-state processes, data flows, interface dependencies, data models, reporting needs, and modernization impacts. The Data Analyst will help translate business and technical information into clear artifacts that support architecture decisions, integration planning, data governance, release readiness, data model alignment, and long-term platform modernization objectives.
Responsibilities
- Support the Solution Architect by analyzing current-state processes, data flows, system interfaces, reporting needs, and modernization dependencies across legacy and modernized capabilities.
- Develop and maintain data mapping artifacts, conceptual and logical data model views, entity relationship summaries, interface inventories, source-to-target documentation, process flows, dependency logs, and analysis summaries that inform architecture and implementation decisions.
- Gather and validate business, data, and reporting requirements from Product Owners, Federal stakeholders, vendors, subject matter experts, and delivery teams.
- Analyze data quality, data lineage, system-of-record considerations, duplicate data paths, synchronization needs, data model alignment, and integration impacts to support modernization planning.
- Support development and validation of conceptual, logical, and implementation-oriented data models by identifying key entities, relationships, attributes, business rules, data domains, and model impacts across legacy and modernized capabilities.
- Translate complex business and technical information into clear documentation, visuals, decision summaries, briefing materials, and stakeholder-ready analysis products.
- Support architecture review, design discussions, trade-off analysis, release readiness reviews, and dependency management by