Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide analytical support, documentation, data modeling, and data-driven decision-making for the modernization program of the GrantSolutions platform.

• Assist the Solution Architect by evaluating existing processes, data flows, system interfaces, reporting requirements, and modernization dependencies.

• Create and sustain data mappings, conceptual and logical data model views, entity relationship summaries, interface inventories, source-to-target documentation, process flows, dependency logs, and analysis summaries.

• Collect and validate business, data, and reporting requirements from Product Owners, Federal stakeholders, vendors, subject matter experts, and delivery teams.

• Examine data quality, data lineage, system-of-record considerations, duplicate data paths, synchronization requirements, alignment of data models, and integration impacts.

• Aid in the development and validation of conceptual, logical, and implementation-focused data models.

• Convert complex business and technical information into documentation, visuals, decision summaries, briefing materials, and analysis products suitable for stakeholders.

• Support architecture reviews, design discussions, trade-off analyses, release readiness assessments, and management of dependencies.

• Collaborate with engineering, testing, DevSecOps, data, security, and vendor teams.

• Assist with the analysis of API-enabled services, shared platform capabilities, data exchange patterns, workflow automation, interoperability needs, and legacy coexistence.

• Identify and communicate risks, gaps, inconsistencies, and dependencies.

• Maintain repositories for analysis, working documents, traceability materials, and status inputs.

⛳️ Requirements

• Must be able to obtain and maintain a Federal or DoD Public Trust; approved adjudication required prior to onboarding.

• A Bachelor’s degree is required.

• A minimum of three (3) years of experience in data analysis, business analysis, systems analysis, requirements analysis, reporting, data governance, systems integration support, or related fields.

• Experience in 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 knowledge of the Software Development Life Cycle (SDLC), agile delivery concepts, requirements traceability, and data analysis methodologies.

• Ability to gather, interpret, validate, and document data and process information from multiple sources.

• Capability to develop data mappings, data model views, entity relationship summaries, process flows, interface inventories, requirements summaries, dependency trackers, gap analyses, and decision support materials.

• Familiarity with APIs, data exchange concepts, relational databases, conceptual and logical data modeling, reporting tools, query logic, data lineage, system-of-record concepts, and interoperability.

• Experience collaborating with cross-functional product, engineering, testing, architecture, security, data, vendor, and stakeholder teams.

• Ability to identify and communicate risks, gaps, assumptions, inconsistencies, and dependencies.

• Strong proficiency in Microsoft Excel, PowerPoint, Word, Visio or similar diagramming tools, and collaboration platforms.

• Excellent problem-solving, critical-thinking, organization, and attention-to-detail skills.

• Strong stakeholder management and collaboration abilities.

• Ability to translate detailed analyses into narratives, visuals, summaries, and recommendations.

• Self-driven, adaptable, and capable of thriving in fast-paced, dynamic environments.

• Experience supporting federal or government IT programs, solution architecture, enterprise architecture, data architecture, application modernization, or systems integration is a plus.

• Understanding of AWS data architectures and cloud security principles is a plus.

• Familiarity with SQL, data profiling, reporting dashboards, data visualization, Power BI, Tableau, or similar tools is a plus.

• Familiarity with API documentation, interface control documents, canonical data models, entity relationship diagrams, data dictionaries, data catalogs, or metadata management is a plus.

• Experience with Jira, Azure DevOps, Confluence, SharePoint, or similar platforms is a plus.

• Data, agile, business analysis, cloud, or analytics certification is preferred.

• Experience utilizing generative AI and AI-assisted development tools is a plus.

🏝️ Benefits

• Medical, Rx, Dental & Vision Insurance.

• Personal and Family Sick Time & Company Paid Holidays.

• This position may qualify for a discretionary variable incentive bonus.

• Parental Leave and Adoption Assistance.

• 401(k) Retirement Plan.

• Basic Life & Supplemental Life Insurance.

• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts.

• Short-Term & Long-Term Disability coverage.

• Student Loan PayDown program.

• Tuition Reimbursement, Personal Development & Learning Opportunities.

• Skills Development & Certifications.

• Employee Referral Program.

• Corporate Sponsored Events & Community Outreach initiatives.

• Emergency Back-Up Childcare Program.

• Mobility Stipend.

• Flexible benefits package.