Data Intelligence Analyst (DoD Secret | Remote)

This role supports a federal healthcare environment focused on improving how data is integrated, understood, and used to support operational and leadership decision-making. You’ll work closely with program stakeholders, domain experts, and technical teams to clarify data needs, validate integrated datasets, and turn information into insights leaders can trust.

This is a business-facing analytics role. The work goes beyond reporting; you’ll help define requirements, sense-check data from a real-world perspective, and build dashboards that support decisions in a complex, regulated healthcare setting.

If you enjoy translating business questions into data, partnering closely with stakeholders, and delivering analytics that actually get used, this role is designed for you.

• 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.

• 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.
• Familiarity with healthcare data standards or models (e.g., HL7/FHIR, OMOP), even at a conceptual level.
• Experience using Excel and/or Python (pandas) for deeper or ad hoc analysis.
• Understanding of data privacy and compliance considerations in regulated settings.

• You’ll work on high-visibility analytics that inform real operational and leadership decisions.
• You’ll operate in a true bridge role, shaping requirements and validating outcomes — not just consuming tickets.
• The work supports a real federal healthcare mission with tangible impact.
• Ideal for analysts who want influence and responsibility without stepping away from hands-on work.

Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.

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