Data Analyst (Austin)

About the role

Texas Workforce Commission (TWC) connects people with careers across the state. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This full-time position will be based in the TWC office in Austin at 101 E. 15th Street. The selected candidate must be able to work on site between the hours of 8:00am – 5:00pm, Monday – Friday. TWC offers flexible schedules between the hours of 7:00 AM to 6:00 PM depending on work performance and/or demonstration of need.

TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or 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.

Responsibilities

The Data Analyst III-IV 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. Team members in A&E 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.

As a collaborative partner with the Re-employment Services and Eligibility Assessment (RESEA) Department, the Data Analyst III-IV will help unemployed Texans return to work faster by using insightful research, data analysis, and evaluative performance to help TWC understand and improve services, enhance job outcomes, and implement good stewardship of federal and state funds.

• 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 RESEA 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 RESEA and UI 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
• Commit to continuous professional development to cultivate technical skills and UI program knowledge

Requirements

Data Analyst III: Performs moderately complex (journey-level) data analysis and data research work. Data Analyst IV: Performs complex (journey-level) data analysis and data research work.

• 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
• Data Analyst III: 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
• Data Analyst IV: Three 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
• Knowledge of SQL, Python and/or R, training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making
• 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

Skills

• SQL, Python and/or R
• Descriptive and inferential statistical techniques for business and economic decision making
• Additional analytical techniques, such as forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; hierarchical models; and interactive data visualization

Benefits

• A Family Friendly Certified Workplace
• Competitive starting salary: $5,500.00 - $6,250.00 /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

Pay

Competitive starting salary: $5,500.00 - $6,250.00 /month

Schedule

The selected candidate must be able to work on site between the hours of 8:00am – 5:00pm, Monday – Friday. TWC offers flexible schedules between the hours of 7:00 AM to 6:00 PM depending on work performance and/or demonstration of need.