Rackner

Threat Intelligence Specialist

• 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.

Data Intelligence Analyst – DoD Secret

Business Analyst

Healthcare Data Strategy & Insights Analyst

QA Engineer

• We are seeking an experienced QA Automation Engineer and Quality Analyst to ensure the data integration solution meets the highest standards of quality, reliability, and accuracy.
• The QA Automation Engineer will build automated tests and frameworks, while the Quality Analyst will focus on comprehensive testing and validation from both user and data-quality perspectives.
• Design detailed test plans and test cases addressing functional requirements, data integrity, and performance criteria.
• Define acceptance criteria and validation procedures to verify that each feature of the data integration platform meets documented requirements.
• Develop and maintain automated test suites to efficiently support regression, integration, and end-to-end testing.
• Build and manage automation test frameworks, integrating them into the CI/CD pipeline to support continuous testing.
• Conduct data quality and integration testing to ensure that data flowing across systems is accurate, consistent, and reliable.
• Perform performance and reliability testing to validate system behavior under varying load conditions.
• Oversee the end-to-end QA process and ensure alignment with established quality standards and best practices.

Data Intelligence Analyst – DoD Secret

Healthcare Data Strategy & Insights Analyst

Quality Assurance, DoD Secret