Data Analyst

Join the City of San Antonio as a Data Analyst in an onsite role supporting data-informed decision-making. This position involves collecting, processing, analyzing, and presenting data in a concise format, with opportunities to work across teams and continually improve analysis processes. The work is based at City Tower in downtown San Antonio, with a standard weekday schedule.

Location: San Antonio, TX (onsite)
Work Schedule: 7:45 AM to 4:30 PM, Monday to Friday
Salary: USD 47,830 to 71,745 per year
Work Location Address: City Tower, 100 W Houston Street, San Antonio, TX 78205

What you’ll do

• Collect, clean, and analyze data from multiple sources to support accuracy and reliability.
• Assist with data analysis to identify patterns, trends, and anomalies.
• Apply statistical methods and data modeling techniques to interpret results and make predictions.
• Maintain databases and data collection systems to support strong data quality and efficient operations.
• Support the creation of visualizations and dashboards to communicate findings.
• Communicate complex insights clearly for non-technical audiences.
• Collaborate with cross-functional teams to understand data needs and deliver relevant, data-driven solutions.
• Follow data privacy and security compliance throughout all data handling and processing.
• Stay current on data analysis tools, techniques, and industry trends to improve performance over time.
• Optimize and automate analysis processes when possible to enhance efficiency.
• May assist with written reports, summaries, and presentations.
• Perform related duties and responsibilities as required.

What you bring

• Bachelor’s Degree from an accredited college or university.
• Substitution options may apply: two years of related full-time experience may substitute for one year of higher education, or one year of related higher education may substitute for two years of experience to meet minimum requirements (one year of full-time experience is 30 or more hours per week for 12 months; one year of higher education is 30 credit hours completed at an accredited college or university).
• Ability to identify, gather, and evaluate data.
• Knowledge of data analysis and technology, including data models, database design/development, and data mining techniques.
• Knowledge of statistics and experience using statistical packages to analyze datasets.
• Knowledge of computer software and hardware applications and basic ability to operate a computer keyboard and other basic computer equipment.
• Ability to provide technical assistance to users and communicate clearly and effectively.
• Ability to perform all physical requirements of the position with or without accommodations, and to work primarily in an office environment.
• Ability to work with budget and accounting principles.

Pre-employment and documentation

• Selected applicants must receive satisfactory results from pre-employment drug testing and background checks. If required, a physical, motor vehicle record evaluation, and additional background checks may be conducted.
• Information regarding employment history related to the qualifications will be needed for employment verification. Applicants claiming military service may attach a DD214 to the application.
• If selected, official transcripts, diplomas, certifications, and licenses must be submitted at the time of processing. Unofficial transcripts and copies of other relevant documents may be attached to the application for consideration in advance.