Austin, TX
Business Analyst - Solicitation# 529701734
Texas Health and Human Services Commission (HHSC)
Overview
The Worker will serve as a senior business data quality 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 data profiles and quality measures for developing agency analytical reporting and strategic decision-making. The ideal candidate has strong analytical and SQL skills, a deep understanding of HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities

• Strategic Liaison and Translation
  • Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.
  • Explain technical findings and data limitations in simple, non-technical language to end-users.
• Data Reporting and Visualization
  • Extract, integrate, and analyze sample data from multiple complex internal and external sources to support HHS analytics needs.
  • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing data quality profiles for constantly emerging analytics needs.
  • 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 quality 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 data profiling tools 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 quality tools and techniques to continuously improve data analytics, data quality and reporting.
• AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
  • 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.

Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position.
 

Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Actual Years Experience	Years Experience Needed	Required/ Preferred	Skills/Experience
	8	Required	Experience gathering business requirements and translating complex data acquisitions and operational requirements into clear, actionable access paths for data profiling 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, data profiling, manipulation and enrichment.
	8	Required	Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate data profiles 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 data profiling needs for analytics projects
	5	Preferred	Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains.
	5	Preferred	Experience with data governance and data quality principles
	5	Preferred	Experience with data profiling tools such as Snowflake Cortex or Toad
	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

I need Three References

 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate
 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate
 

Reference Name (Required):
Title (Optional)
Company Name (Required):
Phone Number (Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):

     
Peer                                                                      Co-Worker                                                                  Supervisor
   

  Customer                                                             End-User                                                                     Subordinate