Job Description

Description

We are seeking a creative and experienced Data Analyst V to join the Department of Analytics and Evaluation (A&E) in TWC's Information Innovation & Insight (I|3) division. Please note that the position is in-office only and does not offer a remote work option. The Data Analyst will learn quickly, value public service, and pursue analytical work to unlock the power of data to improve TWC's services for Texas employers, individuals, families, and communities. Our office is located at 101 E 15th St, Austin, Texas.



We will only consider applicants who include an attached resume and a cover letter explaining interest in the position and why it would be a good fit.



The Data Analyst will work with the Education, Career, and Training Services (ECATS) team, which has eight members. The team specializes in TWC's Adult Education & Literacy (AEL) and Career & Training (C&T) data. The Adult Education and Literacy (AEL) program builds foundational skills in adult learners. This includes parents and caregivers, with a family-literacy strand that helps them understand child development and become full partners in their children's learning. Beyond its primary focus on adult learners, AEL also prepares adult-education instructors to engage effectively with vulnerable families, and, through partnerships with local early-childhood providers, helps connect children from underserved backgrounds to high-quality early education and care. The Department of Labor's (DOL) Career and Training Programs (C&T) are aimed at improving the employment prospects of adults, youth, and dislocated workers. DOL's C&T Programs also include initiatives such as Supplemental Nutrition Assistance Program Employment and Training (SNAP E&T), the Noncustodial Parent Choices Program (NCP), and various veterans' services.



Members of the ECATS team operate collaboratively in an environment that encourages cross-training and peer mentorship with other workforce program areas, including but not limited to, vocational rehabilitation, unemployment insurance, and childcare. Staff are mostly self-directed and produce high-quality research and evaluation work as well as proactively creating and applying complex statistical models to solve system problems. The Data Analyst will work under limited supervision with broad latitude for the use of initiative, creativity, innovation, and independent judgment. In addition, the position offers access to a wealth of networking and professional development opportunities across I|3, TWC, and with national workforce system partners. Candidates must have excellent active listening skills and deliver criticism and feedback in constructive and sensitive ways. They must have direct prior experience with workforce programs in a policy or data analytical context. This role requires advanced verbal and written communication skills to translate complex data into clear insights, develop documentation, and present results to leadership and cross-functional teams.



TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas, specifically, to the Austin area.



WHAT YOU WILL DO:

The Data Analyst V performs highly complex (senior-level) data analysis and data research work. Works under limited supervision, with moderate latitude for the use of initiative and independent judgment. Employees at this level may guide the selection of data management tools and the development of standards, usage guidelines, and procedures for those tools; define, develop, and implement data and reporting standards; develop data quality measures, analyze data quality results, and implement necessary changes to ensure data quality improvement; develop software applications or programming to use for statistical modeling, data analysis, and graphic analysis.



YOU WILL BE TRUSTED TO:

Develop, implement, and optimize databases, data collection systems, statistical modeling, and data analytics techniques Contribute to experimental or quasi-experimental studies to assess causal impact of AEL and workforce program interventions Conduct multiple simultaneous tasks and prepare ad hoc analyses and reports on short timeframes Formulate and deploy methods for mitigating and correcting data entry, integrity, and collection issues Present, interpret, and meaningfully contextualize data for technical and nontechnical audiences Communicate and collaborate effectively with AEL, workforce, and other program staff, subject matter experts, and others Develop and follow data governance, peer review, and quality assurance policies and protocols Demonstrate proficiency in computer programming and data analytic software use Perform other work duties as assigned and required to cultivate the agency's programs; and Commit to continuous professional development to cultivate technical skills and program knowledge. Perform related work as assigned.


YOU QUALIFY WITH:

Four years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. Relevant academic credits may be applied toward experience qualifications for this position.


You Are a Great Fit With:

Will have Knowledge of SQL, SAS, SPSS, Python and/or R, plus training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, and mixed methods qualitative and quantitative program evaluation. Will also have training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; and/or interactive data visualization. Leadership and project coordination experience and has advanced coding and querying skills and directs reporting functions by automation and efficient process creation, or evaluation functions by mixed method studies, or applies data science techniques like predictive analytics, natural language processing, and machine learning.


YOU GAIN:

A Family Friendly Certified Workplace.

- Competitive starting salary: $7,200.00 - $8,300.00/month

Defined Retirement Benefit Plan Optional 401(k) and 457 accounts Medical Insurance Paid time off, including time for vacation, sick and family care leave Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits.

VETERANS:

Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_PlanningResearchandStatistics.pdf



HOW TO APPLY:


To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo (Job Search).

TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas.


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.


A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042.

Primary Location

United States-Texas-Austin

Work Locations

Austin:101 E 15th St (320-4001) 101 E 15th St Austin 78778-0001

Job

Data Scientists

Organization

TEXAS WORKFORCE COMMISSION

Schedule

Full-time

Employee Status

Regular

Job Type

Standard

Job Level

Non-Management

Travel

Yes, 10 % of the Time

Job Posting

Nov 19, 2025, 12:00:00 AM

Work From Home

No