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Data Intelligence Analyst

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Texas Health and Human Services
Full Time, Part Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 7716 - 10083 USD Monthly USD 7716.00 10083.00 MONTH
Job Description & How to Apply Below

Date:
Jan 23, 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 HHS webpage.

Functional

Title:

Data Intelligence Analyst
Job Title: Data Analyst VI
Agency: Health & Human Services Comm
Department: IT Data Analytics Support
Posting Number: 13183
Closing Date: 04/23/2026
Posting Audience: Internal and External
Occupational Category: Computer and Mathematical
Salary Group: TEXAS-B-28
Salary Range: $7,716.66 - $10,083.33
Pay Frequency: Monthly
Shift: Day
Additional Shift: Days (First)
Regular/Temporary: Regular
Full Time/Part Time: Full time
FLSA Exempt/Non-Exempt: Exempt
Job Location City: AUSTIN
Job Location Address: 4601 W GUADALUPE ST
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
10,CYB
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23
Brief

Job Description

This position will be responsible for supporting and leading in the breadth and depth of analytics portfolio data initiatives under the Office of Chief Data Architect across program and administrative portfolios and funding sources, rationalizing analytics activities across all HHS data domains using data from core HHS systems. Position will help lead implementations under all components of the Texas Data Management Framework (TDMF) including data management, data acquisitions and integrations, data quality oversight, visualization support, as well as data security, policy and other mandates.

This position will be responsible for assessing the ever‑changing data architecture needs of a department responsible for analytics and performance measure tracking and reporting across HHS portfolios. They will have to understand source applications architecture and design in order to identify standard as well as creative ways of acquiring and using agency data through research and analysis of application data sources within the emerging technologies available within the HHS DCS and cloud constraints, particularly now through the use of various forms of AI tools, agents, advanced prompting, LLMs, etc.

They must be well versed in the skills required for emerging technologies and be able to utilize existing resources to the best advantage to meet very aggressive and demanding schedules.

Strategic decision support in providing comprehensive, concise presentations to leadership for intakes on mission‑critical systems including programming for statistical modeling and graphical analysis; will be responsible for assessing situations, coming up with quick, sound solutions while keeping operational activities moving forward.

Essential Job Functions (EJFs)

Provide HHS portfolio domain expertise regarding application data as well technical team leadership and supervision for the use of CDA and partner resources across HHS portfolios and funding sources, by using data queried and extracted from core HHS application systems, combining data across programs, tying together with data extracts, project planning documents and spreadsheets to help compile up‑to‑date portfolio data curations, developing data cleansing and quality measures (macros and scripting) to improve data quality and identify gaps and inconsistencies in portfolio data, as well as filling technology gaps presented by legacy data tools.

Reconcile analytics data inputs with curated measures using query tools and spreadsheet automation, to ensure accuracy, as well as to report in PowerPoint slide presentations to executive leadership and project sponsors and leads on a weekly, monthly, quarterly and biennial basis according to strict deadlines.

Assessing the…

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