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Data Analyst V

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Health & Human Services Comm
Full Time, Part Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 6377 - 10785 USD Monthly USD 6377.00 10785.00 MONTH
Job Description & How to Apply Below

Posting 20477
-Posted
10/20/2026

- Health & Human Services Comm

- HHS Provider Finance M/C Admin

- Business and Financial Operations

- Eligible for Telework
-c. $5000 - $6999 per month

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 HHS 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:20477
Closing Date:11/30/2026
Posting Audience:Internal and External
Occupational Category:Business and Financial Operations
Salary Range:$6,377.50-$10,785.83
Pay Frequency:Monthly
Salary Group:TEXAS-B-26
Shift:Day
Additional Shift:None
Telework:Eligible for Telework
Travel:Up to 5%
Regular/Temporary: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:None
MOS Codes: ,,,,,N,14NX,15AX,16KX,181X,182X,183X,1D7 X1
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
10,CYB
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14,IS,ISM
ISS,IT,ITS,SEI
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23

Brief

Job Description:

The Data Analyst V performs highly complex (senior-level) data analysis, statistical modeling, visualization, and reporting of results to support program, policy, and financial decision-making within Long-Term Services and Supports (LTSS) section of the Provider Finance Department (PFD). The role works under limited supervision with moderate latitude for the use of initiative and independent judgment. The Data Analyst V consults with internal and external stakeholders to identify analytics needs, integrates diverse data sources, resolves data anomalies, and communicates findings in clear, actionable formats for technical and non-technical audiences.

This position serves as a team lead and may coordinate the work of other analysts.

Essential Job Functions (EJFs):

Performs Highly Complex Data Analysis, Financial Modeling, & Visualization – 35%

  • Collects, integrates, queries, cleans, and analyzes large and complex data sets using standard and advanced languages and analytics software such as SQL, MS Excel, SAS, Python, or R.
  • Builds and maintains dashboards and visualizations to identify significant differences, patterns, and trends that inform decisions.
  • Supports highly complex calculations and financial modeling for rate methodology development, fiscal estimates, and utilization analyses.

Ensures Data Quality & Data Integrity Improvement – 20%

  • Develops standards, usage guidelines, and procedures for data analysis tools and software.
  • Defines, develops, and implements data and reporting standards to improve consistency, repeatability, and auditability of analyses.
  • Establishes and maintains standard work procedures governing the appropriate use of data and reporting artifacts (templates, definitions, metadata).
  • Reviews the work of colleagues and members of other teams for accuracy, completeness, and conformance with standards, policies, and procedures.
  • Develops data quality measures, analyzes data quality results, and implements necessary changes to ensure data quality improvement.
  • Identifies data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships…
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