Business Intelligence Analyst

Role: Business Intelligence Analyst Location: Austin, TX (100% Onsite) Duration: Long Term Responsibilities In person interview will be required • Strategic Liaison and Translation • Work with program areas and project sponsor to gather business requirements and translate into technical specifications. • Lead as technical project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts • Act as the primary point of contact for program staff with data needs for federal, state, and internal reporting. • Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources. • Explain technical findings and data limitations in simple, non-technical language to end-users. • AI Prompting and Data Synthesis • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets. • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy. • Develop a library of standardized prompts and query templates for common reporting needs. • Data Reporting and Visualization • Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs. • Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting. • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations. • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations. • Data Literacy and Training • Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff. • Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis. • Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI. • Collaboration and Problem-Solving • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies. • Provide expert guidance to program staff on interpreting data trends and answering complex data questions. • Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting. Qualifications • 10+ years of experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable SQL queries and analytical solutions for enterprise data environments. • 10+ years of experience communicating technical findings, analytical insights, and data limitations to business users and stakeholders in clear, concise, and non-technical language. • 10+ years of experience in complex data analysis, senior business analysis, systems analysis, and/or data liaison roles supporting enterprise reporting and analytics initiatives. • 10+ years of experience using SQL for data extraction, transformation, manipulation, validation, and reporting across large and complex datasets. • 10+ years of experience collaborating with business users, performance analysts, and IT leadership to design, develop, validate, and maintain reports, dashboards, and data visualizations for program monitoring, operational analysis, and regulatory reporting. • 10+ years of experience demonstrating strong communication, presentation, stakeholder management, facilitation, and interpersonal skills across all organizational levels. • 10+ years of experience developing interactive dashboards and visual analytics solutions using Power BI, Tableau, and other business intelligence tools. • 5+ years of experience leading technical projects as a Project Manager, utilizing hybrid Agile methodologies, including sprint planning, epics, user stories, backlog management, as well as traditional Waterfall project planning and documentation. • 5+ years of experience working with Business Intelligence (BI), Data Warehouse, and enterprise analytics platforms to support strategic decision-making and performance measurement. • 5+ years of experience serving as the primary point of contact for program staff and stakeholders regarding data requirements for federal, state, regulatory, and internal reporting initiatives. • 5+ years of experience working in Health & Human Services (HHS), healthcare, or other highly regulated environments with strong knowledge of program data, compliance requirements, and reporting standards. • 5+ years of experience applying data governance, data stewardship, and data quality management principles to ensure data accuracy, consistency, and reliability. • 2+ years of experience promoting data literacy initiatives by developing and delivering training programs, workshops, and educational materials for non-technical staff. • 2+ years of experience mentoring, coaching, and supporting staff with varying levels of data literacy and analytical expertise. • 1+ year of experience creating AI prompt catalogs and AI-enabled solutions using tools such as Streamlit and Python to improve analytics and business processes. • 1+ year of experience implementing Responsible AI practices and ensuring compliance with organizational, regulatory, and agency AI governance standards.