HonorVet Technologies

Business Intelligence Analyst Specialist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Analyst Specialist in Texas for 12 months on a contract basis, paying "unknown". Requires 10+ years in data analysis, SQL, and BI tools like Power BI/Tableau, with health services experience preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
July 8, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Austin, TX
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🧠 - Skills detailed
#Tableau #Visualization #Data Governance #Datasets #Complex Queries #Monitoring #Stories #BI (Business Intelligence) #Data Analysis #Compliance #Data Warehouse #Data Engineering #Microsoft Power BI #AI (Artificial Intelligence) #Data Extraction #Streamlit #"ETL (Extract #Transform #Load)" #Data Quality #Agile #Documentation #Data Access #Python #SQL (Structured Query Language)
Role description
HonorVet Technologies is a veteran-owned IT staffing firm, ISO 9001 and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn't a tagline — it's the way we work. We don't forward resumes and hope for the best. We take the time to understand where a professional like you is headed and only reach out when we genuinely believe there's a fit worth exploring. Position Title: Business Intelligence Analyst Specialist Location: Texas 78751 Duration: 12 Months Employment Type: Contract Job Description: β€’ The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating test plans, test scenarios and test cases for a full requirements traceability matrix. β€’ The worker will facilitate integration of technical data sources across the Health and Human Services (HHS) departments and agencies. β€’ This role empowers HHS staff effectively develop complex queries, often using AI prompting techniques access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. β€’ The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities bridge the gap between technical data systems and operational users in the emerging context of AI. Key Responsibilities: Requirements and Testing: β€’ Work with program areas and project sponsors gather business requirements and translate in technical specifications. β€’ Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts β€’ Translate complex data requests and operational requirements clear, actionable queries for AI against complex analytics data sources. β€’ Explain technical findings and data limitations in simple, non-technical language tend-users. AI Prompting and Data Synthesis: β€’ Develop and refine effective AI prompts and query strategies retrieve and synthesize data accurately from complex datasets. β€’ Guide non-technical users in crafting precise prompts get the data they need, ensuring fidelity and accuracy. β€’ Develop a library of standardized prompts and query templates for common reporting needs. Data Reporting and Visualization: β€’ Extract, integrate, and analyze data from multiple complex internal and external sources support HHS program needs. β€’ Collaborate with end-users and performance analysts or IT internal leaders create and validate reports, dashboards, and data visualizations for program monitoring and official reporting. β€’ Provide subject matter expertise on validating output from AI, particularly with respect identifying and mitigating hallucinations. β€’ Ensure all data outputs adhere agency reporting standards, data governance, and compliance regulations. Data Literacy and Training: β€’ Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff. β€’ Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis. β€’ Promote a data-driven culture by enabling and empowering all employees effectively utilize data and AI. Collaboration and Problem-Solving: β€’ Work closely with data engineering, IT, and Program teams troubleshoot data-related issues and address inconsistencies and mitigation strategies. β€’ Provide expert guidance program staff on interpreting data trends and answering complex data questions. β€’ Stay updated on new AI and data analytics tools and techniques continuously improve data access, data quality and reporting. Required Skills and Qualifications: β€’ 10+ Years Experience gathering business requirements and translating complex data requests and operational requirements in clear, actionable queries for complex analytics data sources β€’ 10+ Years Experience explaining technical findings and data limitations in simple, non-technical language tend-users. β€’ 10+ years’ Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role. β€’ 10+ Years of Strong experience with SQL for data extraction and manipulation. β€’ 10+ Years of Experience collaborating with end-users and performance analysts or IT internal leaders create and validate reports, dashboards, and data visualizations for program monitoring and official reporting. β€’ 10+ Years of Excellent communication, presentation, and interpersonal skills. β€’ 10+ Years of Experience with data visualization tools such as Power BI and/or Tableau. Preferred Skills and Qualifications: β€’ 5+ Years of Experience with Business Intelligence/Data Warehouse β€’ 5+ Years of Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements. β€’ 5+ Years of Experience with data governance and data quality principles β€’ 2+ Years of Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff. β€’ 2+ Years of Experience training and mentoring staff with varying levels of data literacy. β€’ 1+ Years of Experience with creating AI prompt catalogs using tools such as Streamlit with Python. β€’ 1+ Years of Experience applying responsible AI practices and compliance with agency standards.