Data Analyst (Austin)

Data Analyst (Austin) The Texas Workforce Commission (TWC) connects people with careers across the state. We're a Family Friendly Certified Workplace with a great work-life balance, competitive salaries, extensive opportunities for training and professional development, and fantastic benefits. The Information Innovation & Insight division is looking to hire a Data Analyst III position located at 101 E. 15th Street in Austin, TX. TWC is not considering applications from individuals who require sponsorship for an employment visa, now or in the future, for this position. This includes, but is not limited to, individuals currently on H-1B, F-1 (OPT/CPT), or H-4 visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. TWC offers flexible schedules and requires work hours that are Monday to Friday between the hours of 7:00 AM to 6:00 PM. Flex scheduling is available depending on work performance and/or demonstration of need, but the individual should have the ability to be available for most peak business hours (9:00 AM to 5:00 PM). The expectation is that candidates will work full-time on-site. TWC's Information Innovation & Insight (I/3) Division is seeking a creative, experienced, and motivated Data Analyst III to spearhead critical data projects focused on program integrity and fraud prevention in Unemployment Insurance (UI) and Child Care and Early Learning (CCEL). We are looking for a forward-thinking individual who not only executes tasks but also works proactively to identify efficient methods to uncover anomalies, detect fraudulent patterns, and protect agency resources. The Data Analyst III 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. The Data Analyst III will work under general supervision with moderate latitude for the use of initiative, creativity, innovation, and independent judgment. Candidates must have excellent active listening skills, be able to deliver constructive feedback, and be master communicators who can distill complex concepts into clear, actionable insights for diverse audiences. Perform moderately complex to complex (journey-level) data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data; providing results; and monitoring and implementing data quality. As a Data Analyst III in this specialized role, you will perform data analysis work from gathering and managing large datasets to identifying anomalies targeted at fraud detection and risk mitigation. Your work will generate crucial insights into program vulnerabilities, directly inform agency leadership, and support complex investigations involving sensitive law enforcement data. Develop, implement, and optimize databases, data collection systems, and data analytics techniques; Collaborate closely with internal investigative units and external law enforcement partners to analyze sensitive data, trace fraudulent activities, and support ongoing investigations; 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 to prevent exploitation; Present, interpret, and meaningfully contextualize data for technical and nontechnical audiences; Prepare and present concise, comprehensive technical reports that provide clear, audience-appropriate explanations of investigative findings and risk assessments; Maintain strict compliance with data security protocols and handle confidential law enforcement data with the highest level of integrity and security; Demonstrate proficiency in computer programming and data analytic software use (e.g., SQL, Python, R); Commit to continuous professional development to cultivate technical skills and program knowledge; and Perform other work duties as assigned and required to cultivate the agency's programs. Two 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. Graduation from an accredited four-year college or university with major coursework in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field is generally preferred. Knowledge of SQL, Python and/or R. Training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, including measures of central tendency/dispersion; probability distributions; sampling distributions; confidence intervals; hypothesis testing; simple linear regression; and correlation analysis. Training and/or experience in additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; hierarchical models; and interactive data visualization. Proven ability to manage and manipulate large, complex data sets to provide advanced analysis and actionable insights. A strong drive for continuous learning and a proactive mindset toward improving processes and products. A Family Friendly Certified Workplace - Competitive salary: $5,000 - $6,000/month (Depending on experience) - 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 Duty involves up to 5% travel within the state of Texas.