Data Analyst

The Data Analyst – Solution Architecture Support

Job Family:
Data Science & Analysis

Travel Required:

Up to 10%

Clearance Required:

Ability to Obtain Public Trust

• Analyze business processes, data structures, conceptual and logical data models, system interfaces, reporting needs, and modernization dependencies to inform solution design and technical execution across multiple work streams, vendors, and Scrum teams.
• Support the Solution Architect by gathering, analyzing, validating, modeling, and documenting data and process information needed to guide modernization decisions.
• Develop clear analysis artifacts, data mappings, data model views, entity relationship summaries, interface inventories, workflow summaries, decision support materials, and stakeholder‑ready documentation.
• Analyze 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 preparing evidence‑based analysis and concise summaries.
• Coordinate with engineering, testing, Dev Sec Ops , data, security, and vendor teams to confirm assumptions, clarify data needs, document open questions, and track follow‑up actions.
• Assist with analysis of API‑enabled services, shared platform capabilities, data exchange patterns, workflow automation, interoperability needs, and legacy coexistence considerations.
• Identify and communicate risks, gaps, inconsistencies, and dependencies related to data, interfaces, workflows, requirements, reporting, testing, and operational transition planning.
• Maintain organized analysis repositories, working documents, traceability materials, and status inputs to support coordinated modernization execution and leadership visibility.

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
• Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
• Bachelor’s degree required.
• Minimum of THREE (3) years of experience in data analysis, business analysis, systems analysis, requirements analysis, reporting, data governance, systems integration support, or related roles.
• Experience analyzing data structures, conceptual and logical data models, business processes, system interfaces, reporting requirements, source‑to‑target mappings, data quality issues, or workflow dependencies.
• Strong understanding of the Software Development Life Cycle (SDLC), agile delivery concepts, requirements traceability, data analysis practices, and collaboration…