Data Intelligence Analyst – DoD Secret

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Rackner

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏢 Enterprise

🤖 Artificial Intelligence

🔐 Security

Enterprise • Artificial Intelligence • Security

Rackner is a technology company specializing in applying emerging technologies to mission-critical problems in both the public and private sectors. As a Kubernetes Certified Service Provider, Rackner's experienced engineers manage large clusters in production environments for major organizations. The company focuses on cloud-native solutions, DevSecOps, AI, and platform development to modernize business-critical applications. Rackner is also involved in developing innovative systems using Edge, IoT/Mobile, and VR technologies. The company has been recognized on the Inc 5000 List of Fastest Growing Companies and has secured significant contracts with the Department of Defense and the Department of Homeland Security.

📋 Description

• Partner with program managers, domain experts, and end users to gather and clarify business and functional data requirements. • Document requirements, data definitions, and business rules so technical teams understand what is needed and why. • Translate stakeholder needs into clear deliverables such as requirements documentation, user stories, and acceptance criteria. • Revisit and refine requirements as priorities or feedback evolve. • Review existing data workflows and business processes to identify inefficiencies, delays, or manual workarounds. • Help shape improvements that streamline operations and improve data availability and usability. • Ensure analytics and reporting align with how the organization actually operates. • Analyze integrated datasets to produce insights that support operational and leadership decisions. • Build and maintain dashboards and reports using Tableau or Qlik, with a focus on clarity and usability. • Write and validate SQL queries to support analysis, reporting logic, and data verification. • Ensure metrics are well-defined, accurate, and consistent across reports. • Work with technical and QA teams to confirm data outputs meet business expectations. • Perform high-level validation to ensure results make sense in context, not just technically. • Help identify gaps, inconsistencies, or definition issues before data is delivered to stakeholders. • Create and maintain documentation including requirements specifications, data dictionaries, and report user guides. • Communicate findings clearly to non-technical audiences, translating data into practical insight.

🎯 Requirements

• Experience in data analysis, business analysis, or analytics roles within complex or regulated environments. • Strong stakeholder engagement and requirements gathering skills. • Solid SQL experience for querying, validating, and analyzing data. • Hands-on experience with Tableau or Qlik (or comparable BI tools). • Ability to explain data findings clearly to both technical and non-technical audiences. • Experience working with healthcare or federal data environments (preferred). • Familiarity with healthcare data standards or models (e.g., HL7/FHIR, OMOP), even at a conceptual level (preferred). • Experience using Excel and/or Python (pandas) for deeper or ad hoc analysis (preferred). • Understanding of data privacy and compliance considerations in regulated settings (preferred).

🏖️ Benefits

• Weekly pay with full remote flexibility • Professional growth investment, including paid certifications and training • Comprehensive benefits package, including: • Medical, dental, and vision coverage • 401(k) with 100% company match up to 6% • Paid time off (PTO) • Life and disability insurance • Home office equipment plan • A supportive, inclusive team culture focused on collaboration, trust, and mission impact