Business Analyst
Responsibilities
• Strategic Liaison and Translation
o Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
o Automate regular collection and updates to agency metadata for high value data assets.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
o Extract, integrate, and analyze metadata from multiple complex internal and external sources to support HHS program needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create visualizations for enrichment progress and official reporting.
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 glossary 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 metadata and AI.
• Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot metadata-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 metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
• AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
o Guide non-technical users in crafting precise prompts to get the glossary data they need, ensuring fidelity and accuracy.
- Develop a library of standardized prompts and query templates for common reporting needs.
CANDIDATE SKILLS AND QUALIFICATIONS
| Years | Required/Preferred | Experience |
| 8 | Required | Experience gathering business requirements and translating complex metadata acquisitions and operational requirements into clear, actionable access paths for data glossaries for complex analytics |
| 8 | Required | Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. |
| 8 | Required | Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role. |
| 8 | Required | Strong experience with SQL for data extraction, manipulation and enrichment. |
| 8 | Required | Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate glossaries for analytics development and business data lineage analysis. |
| 8 | Required | Excellent communication, presentation, and interpersonal skills. |
| 5 | Preferred | Experience with Business Intelligence/Data Warehouse |
| 5 | Preferred | Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects |
| 5 | Preferred | Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements. |
| 5 | Preferred | Experience with data governance and data quality principles |
| 5 | Preferred | Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance. |
| 2 | Preferred | Experience championing data literacy across the organization |
| 2 | Preferred | Experience training and mentoring staff with varying levels of data literacy. |
| 1 | Preferred | Experience with AI prompt development |
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