Healthcare Data Strategy & Insights Analyst (DoD Secret | Remote)

Rackner is a cloud-native software consultancy focused on delivering solutions for various sectors, including federal healthcare. The Healthcare Data Strategy & Insights Analyst role involves supporting operational decision-making by clarifying data needs, validating datasets, and building insightful dashboards in a regulated healthcare environment.

Responsibilities:

• 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
• 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