IT Business Analyst 3 (TX529701734)

IT Business Analyst 3 (TX529701734)

 

Responsibilities

•       Strategic Liaison and Translation

        o      Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.

        o      Explain technical findings and data limitations in simple, non-technical language to end-users.

•       Data Reporting and Visualization

        o      Extract, integrate, and analyze sample data from multiple complex internal and external sources to support HHS analytics needs.

        o      Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing data quality profiles for constantly emerging analytics needs.

        o      Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.

        o      Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.

•       Data Literacy and Training

        o      Champion data quality literacy across the organization by developing and conducting training sessions for non-technical staff.

        o      Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.

        o      Promote a data-driven culture by enabling and empowering all employees to effectively utilize data profiling tools and AI.

•       Collaboration and Problem-Solving

        o      Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.

        o      Provide expert guidance to program staff on interpreting data trends and answering complex data questions.

        o      Stay up to date on new AI and data quality tools and techniques to continuously improve data analytics, data quality and reporting.

•       AI Prompting and Data Synthesis

        o      Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.

        o      Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.

        o      Develop a library of standardized prompts and query templates for common reporting needs.