Business Analyst for HHSC, Austin, Tx

Pedigo Staffing Services•Austin, TX

4d•Remote

About The Position

Reviews, analyzes, and evaluates business systems and user needs. Formulates systems to parallel overall business strategies. Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective. Familiar with industry standard business process mapping, and reengineering. Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI, buy/build, etc. Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs. HHSC IT is continuing to develop an Enterprise Information Management (EIM) system under the Performance Management & Analytics System (PMAS). This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS). As a member of the agile development team, the worker responsibilities may include: The Worker will serve as a senior Metadata Ingestion Analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine business and technical glossary definitions for developing agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of metadata acquisition, analysis and enrichment, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.

Requirements

8 years, 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 years, Required - Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8 years, Required - Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8 years, Required - Strong experience with SQL for data extraction, manipulation and enrichment.
8 years, 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 years, Required - Excellent communication, presentation, and interpersonal skills.

Nice To Haves

5 years, Preferred - Experience with Business Intelligence/Data Warehouse
5 years, Preferred - Experience acting as the primary point of contact for program staff with metadata/glossary needs for analytics projects
5 years, Preferred - Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency metadata requirements.
5 years, Preferred - Experience with data governance and data quality principles
5 years, Preferred - Experience with data glossary tools such as Informatica Enterprise Data Catalog (EDC and Axon Data Governance.
2 years, Preferred - Experience championing data literacy across the organization
2 years, Preferred - Experience training and mentoring staff with varying levels of data literacy.
1 years, Preferred - Experience with AI prompt development

Responsibilities

Work with program areas, project sponsor and system SMEs to connect EIM cataloging and lineage systems to source systems in IT.
Automate regular collection and updates to agency metadata for high value data assets.
Explain technical findings and data limitations in simple, non-technical language to end-users.
Extract, integrate, and analyze metadata 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 visualizations for enrichment progress 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.
Champion data glossary literacy across the organization by developing and conducting training sessions for non-technical staff.
Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
Promote a data-driven culture by enabling and empowering all employees to effectively utilize metadata and AI.
Work closely with data engineering, IT, and Program teams to troubleshoot metadata-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 metadata analysis tools and techniques to continuously improve data glossaries, data quality and reporting.
Develop and refine effective AI prompts and query strategies to retrieve and synthesize metadata accurately from complex data domains.
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.