Senior Data Analyst

City-of-SAN-Antoni; San Antonio (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

City of San Antonio is seeking a data analyst to interpret data, conduct statistical analyses, and present findings to inform decisions. The role supports budgeting and planning efforts.

You will collect and clean data from diverse sources, design dashboards for non-technical audiences, and collaborate with cross-functional teams while ensuring data privacy and security. This is an on-site role based in San Antonio, TX.

Qualifications

• Bachelor's degree from an accredited college or university.
• Two years of experience in data analysis or statistical modeling.
• Advanced Excel proficiency and ability to create dashboards and reports.

Responsibilities

• Collects, cleans, and analyzes data from multiple sources for accuracy.
• Performs data analysis to identify patterns, trends, and anomalies.
• Applies statistical methods and data modeling to interpret data and predict outcomes.
• Designs dashboards to translate data for non-technical audiences.
• Collaborates with cross-functional teams to deliver data-driven solutions.

Skills

Data analysis

Statistical modeling

Excel (Advanced)

Data visualization

Executive reporting

Communication

Education

Bachelor's degree

Two years of related experience

Tools

Excel

Job description

Under direction, interprets data to help organizations make informed decisions. Collects, processes, analyzes, and presents data in a concise format or presentation. Conducts research, analyzes complex statistical data, develops planning timetables, evaluates systems policies and procedures, and makes recommendations to achieve goals and objectives. May exercise functional or technical supervision over assigned staff.

Work Location

City Tower - 100 W. Houston St., San Antonio, TX (78205)

Work Schedule

8:00 a.m. - 5:00 p.m., Monday - Friday

• Collects, cleans, and analyzes data from various sources to ensure accuracy and reliability.
• Performs data analysis to help identify patterns, trends, and anomalies.
• Applies statistical methods and data modeling techniques to interpret data and make predictions.
• Compiles and cleans databases and data collection systems for optimal data quality and efficiency.
• Designs reporting dashboards to translate data to an understandable illustrative format to non-technical audiences.
• Performs basic and advanced statistical analyses with quantitative and qualitative data.
• Leads collaboration with cross-functional teams to understand data needs and deliver relevant data-driven solutions.
• Ensures data privacy and security compliance in all data handling and processing activities.
• Stays updated with the latest data analysis tools, techniques, and industry trends for continuous improvement.
• Researches technical issues and provides solutions; makes technological recommendations for improvements.
• May assist in the preparation and monitoring of the annual budget.
• Uses findings to make data-driven recommendations for practices, programming, and policies.
• Prepares and completes ad-hoc reporting requests, summaries, and presentations.
• Performs related duties and fulfills responsibilities as required.

• Bachelor's Degree from an accredited college or university.
• Two (2) years of experience in a relevant field, including but not limited to data analysis or statistical modeling.

Preferred Qualifications

• Advanced proficiency in Excel.
• Proficiency in data collection, visualization, and data management
• Experience supporting executive-level leadership using strong written and verbal communication skills to prepare executive-level reports, briefings, and presentations.
• Experience coordinating high-priority or time-sensitive projects in a fast-paced environment.
• Strong organizational and prioritization skills with attention to detail.
• Ability to work independently, exercise sound judgment, and anticipate needs.
• Experience collaborating across departments or with external partners/stakeholders.

Applicant Information

• Unless otherwise stated, applicants are permitted to substitute two years of related full-time experience for one year of higher education or one year of related higher education for two years of experience in order to meet the minimum requirements of the job. One year of full-time experience is defined as 30 or more hours worked per week for 12 months. One year of higher education is defined as 30 credit hours completed at an accredited college or university.
• Applicants selected for employment with the City of San Antonio in this position must receive satisfactory results from pre-employment drug testing and background checks. If required for the position, a physical, motor vehicle record evaluation, and additional background checks may be conducted.
• Please be advised that if selected for this position, information regarding employment history as it relates to the qualifications of the position will be needed for employment verification. Applicants claiming military service to meet the experience requirement for this position may attach a DD214 to the application.
• If selected for this position, 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.

• Knowledge of data analysis and technology.
• Knowledge of data models, database design development, data mining, and techniques.
• Knowledge of computer software and hardware applications.
• Knowledge of statistics and experience using statistical packages for analyzing datasets.
• Knowledge of budget and accounting principles.
• Skill in data collection, cleaning, transformation, and validation.
• Ability to identify, gather, and evaluate data.
• Ability to operate a computer keyboard and other basic computer equipment.
• Ability to provide technical assistance to users.
• Ability to communicate clearly and effectively.
• Ability to perform all the physical requirements of the position with or without accommodations.
• Ability to work primarily in an office environment.