Data Analyst

🕒 August 11

🇺🇸 United States – Remote

💵 $85k - $141k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Guidehouse

10,000+ employees

Founded 2018

🏥 Healthcare

🎖️ Defense

📦 Logistics

💰 Grant on 2023-02

Healthcare • Defense • Logistics

Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.

📋 Description

• Provide analytical, documentation, data modeling, and data-driven decision support for the GrantSolutions platform modernization program • Support the Solution Architect by analyzing current-state processes, data flows, system interfaces, reporting needs, and modernization dependencies • Develop and maintain data mappings, conceptual and logical data model views, entity relationship summaries, interface inventories, source-to-target documentation, process flows, dependency logs, and analysis summaries • 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 • Support development and validation of conceptual, logical, and implementation-oriented data models • Translate complex business and technical information into documentation, visuals, decision summaries, briefing materials, and stakeholder-ready analysis products • Support architecture reviews, design discussions, trade-off analysis, release readiness reviews, and dependency management • Coordinate with engineering, testing, DevSecOps, data, security, and vendor teams • Assist with 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 analysis repositories, 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 • 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, and data analysis practices • Ability to collect, interpret, validate, and document data and process information from multiple sources • Ability 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 working 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 with Microsoft Excel, PowerPoint, Word, Visio or similar diagramming tools, and collaboration platforms • Strong problem-solving, critical-thinking, organization, and attention-to-detail skills • Strong stakeholder management and collaboration skills • Ability to translate detailed analysis into narratives, visuals, summaries, and recommendations • Self-motivated, adaptable, and able to work in fast-paced, dynamic environments • Experience supporting federal or government IT programs, solution architecture, enterprise architecture, data architecture, application modernization, or systems integration is nice to have • Understanding of AWS data architectures and cloud security principles is nice to have • Familiarity with SQL, data profiling, reporting dashboards, data visualization, Power BI, Tableau, or similar tools is nice to have • Familiarity with API documentation, interface control documents, canonical data models, entity relationship diagrams, data dictionaries, data catalogs, or metadata management is nice to have • Experience with Jira, Azure DevOps, Confluence, SharePoint, or similar platforms is nice to have • Data, agile, business analysis, cloud, or analytics certification is preferred • Experience using generative AI and AI-assisted development tools is nice to have

🏖️ Benefits

• Medical, Rx, Dental & Vision Insurance • Personal and Family Sick Time & Company Paid Holidays • Position may be eligible for a discretionary variable incentive bonus • Parental Leave and Adoption Assistance • 401(k) Retirement Plan • Basic Life & Supplemental Life • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts • Short-Term & Long-Term Disability • Student Loan PayDown • Tuition Reimbursement, Personal Development & Learning Opportunities • Skills Development & Certifications • Employee Referral Program • Corporate Sponsored Events & Community Outreach • Emergency Back-Up Childcare Program • Mobility Stipend • Flexible benefits package

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