San Antonio, TX

Data Jobs in San Antonio, TX

14 jobs found

Include remote jobs

15d ago

Data Scientist (Mid-level) - Risk Modeling

USAA San Antonio, TX

San Antonio, TX

15d ago

$114k - $218k/yr Full time Artificial Intelligence Data Data Analysis

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Job Description

USAA is hiring a mid-level Data Scientist for the P&C Underwriting Data Science team, focused on risk modeling and the delivery of data science products into day-to-day operations. The role combines hands-on experimentation with statistical prototyping, production deployment, and model risk management practices within the Model Development Control and Model Risk Management frameworks.

Based in San Antonio, TX, this onsite position involves turning business requests into analytical questions, building and deploying models using machine learning, simulation, and optimization, and communicating results to both technical and non-technical stakeholders.

The Opportunity

Experiment with data, prototype statistical models, and deploy new data science products in operations for P&C Underwriting.
Build and deploy risk and analytics models and solutions using machine learning, simulation, and optimization.

Responsibilities

Gather, interpret, and manipulate structured and unstructured data to enable advanced analytical solutions.
Develop scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and value.
Select appropriate modeling techniques and/or technologies based on data limitations, the intended application, and business needs.
Develop and deploy models within the Model Development Control (MDC) and Model Risk Management (MRM) frameworks.
Compose technical documentation for knowledge persistence, risk management, and technical review audiences.
Assess business needs to propose or recommend analytical and modeling projects that add business value.
Participate in prioritization of analytics and modeling problems and research efforts with business and analytics leaders.
Contribute to a robust library of reusable, production-quality algorithms and supporting code to support transparency and high-quality data practices.
Translate business requests into specific analytical questions, complete analysis and/or modeling, and communicate outcomes to non-technical business partners with emphasis on actions and recommendations.
Work with Data Engineering, IT, the business, and internal stakeholders to deploy production-ready analytical assets aligned to customer vision and specifications while meeting modeling best practices and model risk management standards.
Maintain awareness of cutting-edge techniques.
Actively seek opportunities and materials to learn new techniques, technologies, and methodologies.
Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled according to risk and compliance policies and procedures.

Requirements

Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial Science, Science, Engineering, or a quantitative field; OR 4 years of relevant education and/or experience.
4 years of experience in predictive analytics or data analysis OR an Advanced Degree (such as a Master’s or PhD) in a quantitative discipline plus 2 years of experience in predictive analytics or data analysis.
2 years of experience training and validating statistical, physical, machine learning, and other advanced analytics models.
2 years of experience using a dynamic scripted language (such as Python or R) for statistical analyses and/or building and scoring AI/ML models.
Experience writing code that is easy to follow, well documented, and commented where necessary for logic with high code transparency.
Experience querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, or NoSQL.
Experience working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc.
Experience conducting ad-hoc analytics using descriptive, diagnostic, and inferential statistics.
Ability to assess regulatory implications and expectations for distinct modeling efforts.
Experience with classical supervised modeling concepts and technologies for prediction, including linear/logistic regression, discriminant analysis, support vector machines, decision trees, and forest models.
Experience with unsupervised modeling concepts and technologies such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, and DBSCAN.
Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results.

Technologies

Python, R, SQL, HQL, NoSQL
JSON, XML
Linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models
K-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN
Machine learning, simulation, optimization, AI/ML
Model Development Control (MDC), Model Risk Management (MRM)

Compensation

Salary range: $114,080 - $218,030 per year.
Pay is based on experience and market data; the actual salary may vary by location.
Employees may be eligible for pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors.

Benefits

Comprehensive medical, dental and vision plans
401(k)
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program with paid holidays plus 16 paid volunteer hours
Various wellness programs
Career path planning and continuing education

Work Environment

Flexible work environment requiring in-office presence 4 days per week.
Position locations include San Antonio, TX; Phoenix, AZ; Plano, TX; Tampa, FL; or Colorado Springs, CO.
Relocation assistance is not available for this position.

Additional Information

VISA sponsorship: USAA does not provide visa sponsorship for this role.
Applications are accepted on an ongoing basis and the posting remains open until filled.
Equal opportunity employer.

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23d ago

Data Engineer

South Texas Radiology Group, P.A. San Antonio, TX

San Antonio, TX

23d ago

Full time Backend Developer Analytics Business Analytics

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Job Description

The Data Engineer at South Texas Radiology Group, P.A. collects, manages, and converts data into information that business teams and analysts can access. This onsite role in San Antonio supports enterprise reporting, data integrity reviews, BI tool deployment, and the creation of centralized data infrastructure.

Key Responsibilities

Follow STRG Policies and Procedures at all times.
Gather information for moderately complex processes, analyze data and trends, and identify root causes.
Build and maintain centralized data store infrastructure in the form of a data warehouse, selecting platform(s) for each component.
Import data from various agency EHRs and web-based sources using ELT/ETL best practices.
Collaborate with internal managers and external partners to set up data pipelines to the data warehouse for reporting and other business functions.
Ensure data integrity for records across data sources, including integrated information systems.
Work with the President on reporting needs related to physician productivity and other measurables, and support the Vice President as needed for physician scheduling and reporting needs.
Support enterprise report creation using warehouse data, including the creation of a data dictionary.
Maintain a data normalization strategy for new warehouse data and create and maintain a semantic layer for report KPIs and business metrics.
Support data mining and analytical capability to assist decision making and corporate strategy, including developing and maintaining a data management strategy for data acquisition and archive recovery.
Assist business teams with interaction with the data warehouse and/or data sources.
Maintain best practices for CI/CD to deliver accurate, accessible business data, including transparency of development processes using Agile project management principles.
Review and audit reports, data sources, and data streams for accuracy and completeness.
Manage and deploy BI tools for use by company teams.
Support departmental initiatives as requested.
Assist with alerting and educating staff on EHR changes.
Assist with system administrative setup as requested.
Maintain strict confidentiality of patient protected health information per STRG procedures and HIPAA Privacy, Security, HITECH, and Transactions and Code Sets regulations.
Perform other duties as required.

Required Qualifications

Strong attention to detail and ability to multitask multiple priorities.
Advanced knowledge and experience in Excel required.
Knowledge of analytical and BI tools, including MS Excel, Tableau, PowerBI.
Strong programming skills: Python, SQL, shell/bash, plus expertise in database technologies, ELT/ETL processes, REST APIs, data warehousing, and workflow management tools.
Experience querying and maintaining relational databases (SQL Server, Postgres) and using version controlling (GitHub).
Knowledge of containerization technologies, cloud development platforms such as GCP, and cloud-native applications.
Cursory understanding of healthcare terminology, including CPT, RVU, and charge terminology.
Knowledge of revenue cycle systems and mapping logic within billing tables.
Minimum 4 years of experience in end-to-end analysis and/or operations experience, including requirement gathering/documentation, operational planning and forecasting, data analytics or current/future state analysis, in direct support of business planning initiatives.

Tools and Technologies

Excel, Tableau, PowerBI
Python, SQL, shell/bash
ELT/ETL, REST APIs
Data warehousing, workflow management tools
SQL Server, Postgres, GitHub
Containerization technologies, GCP, cloud-native applications
CPT, RVU

Role Details

Location: San Antonio, TX (onsite)
Reports to: Controller
FLSA status: Exempt
Job title: Data Engineer

Work Schedule and Attendance Expectations

Maintaining and satisfying minimum attendance requirements is an essential function of this position, including working all full-time regular hours as established for this position and scheduled or emergency overtime. Full-time regular hours are Monday through Friday, with after-hours or weekends as required. All employees in this job classification are required to satisfy this requirement. This job classification does not include “light duty” work or allow unpredictable or unrestricted absences.

Education

Bachelor’s degree in Computer Science, Data Analytics, Management Information Systems, or Business Administration; supplemented with one or more courses in current technology. Experience in lieu of formal education may be substituted.

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30d ago

Technical Scrum/Data Analyst

Y&L Consulting San Antonio, TX

San Antonio, TX

30d ago Closed

$70 - $75/hr Contract Agile Methodologies Agile Scrum Business Analytics

This position is no longer accepting applications (closed Sep 13, 2026).

Job Description

Y&L Consulting is hiring a Technical Scrum/Data Analyst for an onsite contract role in San Antonio, TX.

Responsibilities

Support large-scale data transformation programs and enterprise delivery efforts
Lead cross-functional work with business stakeholders, architects, engineers, and vendors
Provide project updates to PMO leadership, steering committees, and executive stakeholders
Manage Agile backlogs and delivery roadmaps for enterprise initiatives
Use Agile management tools such as Azure DevOps, Jira, or similar systems to track delivery

Requirements

5+ years of experience in Business Analysis, Data Analysis, Project Delivery, or related disciplines
5+ years serving as a Scrum Master or Agile Delivery Lead on enterprise technology initiatives
3+ years working with enterprise data platforms, data warehousing, or analytics solutions
Certified Scrum Master (CSM), SAFe Scrum Master, SAFe Agilist, or equivalent (preferred)
Strong understanding of Agile, Scrum, Kanban, and hybrid project methodologies
Strong understanding of Enterprise Data Hubs (EDH) and Master Data Management (MDM)
Demonstrated knowledge across enterprise data governance topics:
- Data Quality Management
- Data Lineage
- Metadata Management
- Data & Metric Catalog
Experience with data integration concepts including ETL and ELT
Knowledge of data warehousing methodologies
Hands-on familiarity with at least one cloud data platform/tooling set:
- Snowflake, Databricks, Google BigQuery
- Azure Data Platform, AWS Data Services, Google Data Platform
SQL and data analysis tools

Technology Focus

Enterprise Data Hubs (EDH) and Master Data Management (MDM)
Data Quality Management, Data Lineage, Metadata Management
Data & Metric Catalog
Data Integration, ETL/ELT, Data Warehousing methodologies
Snowflake, Databricks, Google BigQuery
Azure Data Platform, AWS Data Services, Google Data Platform
SQL
Azure DevOps, Jira
Informatica MDM
Cloud-based data lakehouse architectures

Preferred Qualifications

Experience implementing or supporting Master Data Management using Informatica MDM
Experience in enterprise data modernization initiatives
Knowledge of cloud-based data lakehouse architectures
Experience supporting data governance councils and data stewardship programs
Familiarity with data catalog and metadata management tools

Job Details

Location: San Antonio, TX (onsite)
Contract role
Pay: USD 70 - 75 per hour
Minimum experience: 3 years

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1mo ago

Data Analyst - Insurance

Work At Home Vintage Experts San Antonio, TX 🇺🇸 Remote

San Antonio, TX

1mo ago Closed

Full time Business Analytics Business Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Remote Data Analyst role supporting insurance industry clients with reporting, warehouse, and customer analysis deliverables.

Responsibilities

Build and maintain a data warehouse plus new reports and ad hoc reports.
Collaborate with user groups to identify reporting issues and enhancements.
Document business requirements based on reporting needs.
Work as a member of a project team and/or execute projects independently.
Support and train internal users as needed.
Compile and prepare data for customer analysis.
Compile data results and create commentary on industry studies (plus).

Requirements

25 years of full-time work experience.
Experience in a data analysis role within the insurance or financial services industry (required).
Experience with C# and Visual Studio.
Experience with JavaScript and CSS.
Experience with current web technologies including .NET, ASP, JSON, and XML.
Experience with ANY of the following:
- SQL Server Reporting Services (SSRS)
- SSIS Reporting
- Power BI
- Dynamics CRM
- Dynamics GP
- SharePoint
- Excel
- Power Query
- Power Pivot

Technology Stack

C#, Visual Studio
JavaScript, CSS
.NET, ASP
JSON, XML
SQL Server Reporting Services (SSRS), SSIS Reporting
Power BI
Dynamics CRM, Dynamics GP
SharePoint
Excel, Power Query, Power Pivot

Benefits

Health insurance based on eligibility.
401(k) with a 4% match.
Remote work with no commute and reduced office stress.
Long-term role with company benefits.
Options for full-time or part-time schedules.
Ability to apply insurance industry knowledge in the role.
Work within a virtual team and connect with experienced insurance professionals.

How to Apply

Click APPLY NOW to complete a simple preliminary profile.
Include your preferred contact information so a Qualification Specialist can connect promptly.

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1mo ago

Quality Data Analyst

University Health San Antonio, TX

San Antonio, TX

1mo ago Closed

$22 - $38/hr Full time Analyst Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 22, 2026).

Job Description

University Health offers an onsite opportunity in San Antonio, TX for a collaborative, data-driven environment where analytics inform program decisions. In this role, you will support analytic driven projects, synthesize data from multiple sources, and build products and self-service reporting using SPSS, REDCap, and Tableau. The position pays $22-$38 per hour and requires a BS/BA in analytics or a health care related field.

Responsibilities

Operate as a statistical and analytics expert within a collaborative, team-based setting.
Assist the Department of Community Initiatives & Population Health by coordinating the synthesis of diverse data sources to support analytic projects.
Provide technical and methodological guidance while supporting data management, statistical analysis, interpretation, and reporting across internal and external initiatives.
Focus on developing products that integrate SPSS, REDCap, and Tableau to power analytics workflows.
Collaborate with departments and stakeholders to build a culture of data fluency and enable enterprise level self-service reporting.

Technologies

SPSS
REDCap
Tableau
Epic
Epic Slicer Dicer

Requirements

A bachelor’s degree in analytics or a health care related field is required.
Demonstrated adaptability.
Demonstrated decision-making ability.
Customer-focused mindset.
Strong problem-solving skills.
Excellent oral and written communication skills.

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1mo ago

Forward Deploy AI Engineer

Career Launch San Antonio, TX

San Antonio, TX

1mo ago Closed

Full time Artificial Intelligence Engineer

This position is no longer accepting applications (closed Aug 20, 2026).

Job Description

This onsite role in San Antonio, TX with Career Launch offers the chance to contribute to product development, solve business challenges, and support customers or internal teams. You will focus on improving systems, analyzing opportunities, and helping a growing organization move faster. The position emphasizes strong judgment, ownership, clear communication, and decisive execution in a fast-paced environment, with opportunities to demonstrate impact as the company scales.

Responsibilities

building products
solving business problems
supporting customers or internal teams
improving systems
analyzing opportunities
helping a growing organization move faster

Requirements

strong judgment
ownership
communication
execution
self-directed
thoughtful
comfortable operating in fast-moving environments
ability to explain what you have built or owned
ability to explain how you approach ambiguous work
clear career goals or direction for your next steps
evidence of impact
learning speed
practical problem solving
clear communication

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2mo ago

Senior Data Scientist Vice President

Citi San Antonio, TX

San Antonio, TX

2mo ago Closed

$114k - $171k/yr Full time Senior Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 12, 2026).

Job Description

Senior Data Scientist Vice President at Citi focusing on analytical Solutions across lines of business using statistical and advanced analytics with emphasis on ML, predictive modeling and fraud detection to drive strategic insights.

Responsibilities

Develop analytical solutions to minimize losses across all lines of business using statistical and advanced data science methods.
Examine compromised card data from dark web feeds to identify emerging fraud trends, detect unusual patterns and anomalies, and pinpoint high‑risk merchants, locations, and transaction behaviors.
Apply AI and ML models such as anomaly detection, graph neural networks, and NLP to forecast fraudulent activity.
Utilize AI driven automation to enhance fraud detection efficiency.
Refine data models and algorithms to flag high‑risk accounts for proactive monitoring and closure; quantify risk exposure by analyzing the impact of compromised cards on fraud losses and identifying abnormal spending patterns.
Collaborate with threat intelligence teams to weave external fraud signals into risk models.
Identify fraud rings, mule accounts and synthetic identities by linking compromised data to existing customer portfolios.
Produce executive‑level insights and dashboards using advanced visualizations with regular updates on fraud trends and emerging threats; deliver actionable insights to senior global stakeholders.
Lead proofs of concept with new vendors evaluating fraud detection tools, data enrichment platforms, and dark web monitoring solutions.
Conduct ad hoc analyses on large unstructured datasets such as transaction logs and dark web feeds to identify fraud indicators, using Python, SQL and SAS for ETL and analysis.
Coordinate response to significant fraud events by facilitating information sharing across financial crime and fraud prevention organizations; partner with cross‑functional teams to design intelligence‑driven solutions.
Collaborate with fraud analytics modeling to explore new detection capabilities and develop analytical solutions leveraging unstructured data and new variables.

Requirements

Bachelor’s degree in engineering, statistics, economics, finance, mathematics or related quantitative field from a premier institute; Master’s degree is not required but beneficial.
Minimum 5+ years of relevant experience in data analysis, data mining, or statistical analysis.
Working knowledge of Python, SQL, Teradata, RDBMS, and Hadoop/Hive tools.
Experience in statistical analysis with working knowledge of Python (preferred), SQL, SAS (SAS required).
Experience with AI/ML frameworks such as TensorFlow, PyTorch and Scikit‑learn.
Knowledge of Large Language Models for text analysis and Fraud Intelligence.
Experience with predictive modeling, statistical analysis and machine learning techniques.
Ability to analyze large scale unstructured data and generate actionable insights.
Familiarity with digital fraud detection tools and experience with cybersecurity datasets and threat intelligence platforms.
Experience developing dynamic dashboards using Tableau or similar visualization tools.
Data Science work in any risk domain is preferable.
Experience identifying fraud patterns in large consumer banking portfolios.
Proven analytic, problem solving and leadership skills with the ability to deliver projects in a fast paced environment.
Excellent quantitative and analytic skills with a data‑driven mindset; ability to derive patterns, trends and insights and weigh risk/reward trade‑offs.
Ability to collaborate effectively with cross‑functional partners and management.
Solutions oriented, proactive attitude with the ability to drive innovation through thought leadership while maintaining an end‑to‑end view.
Extremely detail oriented with intellectual curiosity; capable of multi‑tasking in a fast paced and evolving environment while upholding high standards.