Data Analyst V
Listed on 2026-02-16
-
IT/Tech
Data Analyst, Data Engineer
Overview
Date:
Feb 6, 2026
Location:
AUSTIN, TX
Join the Texas Health and Human Services Commission (HHSC) and be part of a team committed to creating a positive impact in the lives of fellow Texans. At HHSC, your contributions matter, and we support you at each stage of your life and work journey. Our comprehensive benefits package includes 100% paid employee health insurance for full-time eligible employees, a defined benefit pension plan, generous time off benefits, numerous opportunities for career advancement and more.
Explore more details on the Benefits of Working at HHSC webpage.
Functional
Title:
Data Analyst V
Job Title: Data Analyst V
Agency: Health & Human Services Comm
Department: HHS Provider Finance M/C Admin
Posting Number: 13355
Closing Date: 02/20/2026
Posting Audience: Internal and External
Occupational Category: Computer and Mathematical
Salary Group: TEXAS-B-26
Salary Range: $6,377.50 - $10,785.83
Pay Frequency: Monthly
Shift: Day
Telework: Available
Additional Shift: Not specified
Travel: Regular
Full Time/Part Time: Full time
FLSA Exempt/Non-Exempt: Exempt
Facility
Location:
Job Location City: AUSTIN;
Job Location Address: 4601 W GUADALUPE ST
Other Locations: MOS Codes: ,,,,,N,14NX,15AX,16KX,181X,182X,183X,1D7X1,1N0X1,1N1X1,1N4X1,1N7X1,255A,25B,26B,350F,350G,351L,351M,352N,35F,35G,35L,35M,514A,514B,5I0,5I1A,65FX,65WX,681X,682X,683X,781X,782X,783X,86P0,8K000,CT,CTR,CTT,CYB
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14,IS,ISM,ISS,IT,ITS,SEI
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Brief
Job Description:
This position is hybrid, two in-office days per week in Austin. Applicants from outside Texas must be willing to relocate within 30 days of hire.
- Data Analysis and Visualization – Compiles, queries, and loads data points using SQL and other query languages into databases from various source formats to support complex analyses. Cleans and prepares data for access by other analysts and for data visualization. Provides guidance and mentorship on data use and best practices to analysts throughout the department. (20%)
- Data Quality – Establishes and updates data quality metrics, recommends and implements improvements, ensures data integrity by identifying data gaps, errors, anomalies, inconsistencies, and redundancies; coordinates with stakeholders to improve data quality. Interprets results to identify significant differences in data. (20%)
- Reporting – Oversees development of high-quality written projects and reports; guides the selection of data management tools, standards, usage guidelines, and procedures. Defines, develops, and implements data standards. Prepares concise, comprehensive technical reports to present and interpret data; makes recommendations on revisions to data collection methodologies. Develops software applications or programming for financial analysis, statistical modeling, and graphic analysis. (5%)
- Coordination – Explains PFD and Data Integration business processes; negotiates for information and resources; coordinates with subject matter experts to ensure accuracy of reporting tools, workflows, and procedures. (20%)
- Process Improvement – Provides feedback to improve data collection and align data infrastructure with business needs; recommends improvements to efficiency and quality of data and reporting processes; provides routine project status updates. (20%)
- Infrastructure Support – Oversees, plans, directs and monitors key analytic functions related to day-to-day activities of the Data Integration & PFD; performs quality assurance and acts as subject matter expert on data integrity, extraction, and compilation. (10%)
- Other – Performs other work as assigned to maintain HHSC operations. (5%)
- Knowledge – Data analysis techniques, data quality and integrity processes, database and application design concepts.
- Skills – Complex analytic work, identifying trends, recommending improvements; proficiency with SQL, SAS, SPSS, Python and other query languages; experience with Extract, Transform, Load tools.
- Abilities – Ability to work collaboratively across PFD; strong attention to detail; ability to plan, organize, and conduct data analytic projects; ability to interpret and publish…
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