Top Analytics Jobs in San Antonio, TX

Lead a team of analysts in financial planning and data analytics. Create financial dashboards and automate reporting processes using various tools.

The role involves analyzing data to enhance OnePay's product strategy, driving adoption of financial products, and optimizing user experiences through A/B testing and data insights.

The Supervisor of Analytics Reporting will monitor and report on model performance, coach the team, develop complex programming, and automate reports for data analysis.

As a Senior Data Visualization Engineer, you will create data visualizations, collaborate with teams to build reporting solutions, and translate business goals into actionable insights.

Lead the strategy and execution of ServiceTitan's Reporting & Analytics products. Collaborate with design and engineering teams to understand customer needs, drive product vision, and manage the roadmap for reporting solutions.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.

The Marketing Analytics Manager will lead Adobe Analytics implementation, develop reports, analyze performance, and collaborate on data-driven marketing strategies.

In this role, you will design and maintain ETL processes, collaborate with teams for data insights, and utilize various programming tools to enhance operations.

As an Analytics Engineer, you'll create data solutions, build SQL datasets, automate processes with Python, and enhance analytics tools while collaborating with stakeholders.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Databricks Architect is responsible for designing and implementing scalable data solutions, optimizing performance, and leading initiatives within a dynamic team environment.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

Responsible for deploying, validating, and improving machine learning solutions, building data pipelines, and collaborating with teams to ensure business value.

Responsible for designing and implementing scalable solutions on Azure, focusing on UAM architecture, security analysis, and Azure AD integration.

Responsible for deploying and improving MLE solutions, building production data pipelines, and writing scalable machine learning systems while collaborating with teams to drive strategy and communicate results.

Lead the implementation of data quality frameworks and solutions. Collaborate with stakeholders to ensure data governance standards while managing large-scale data quality projects.

The Senior Analytics Consultant develops data-driven business insights and analytics solutions to enhance customer experiences and drive revenue. They lead client engagements, manage expectations and contribute to practice development while staying updated on analytics trends.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.

The Senior Analytics Consultant develops business insights and drives customer experiences through data analysis, modeling, and visualization, while managing client relationships and expectations.

The Data Scientist will build predictive models for organic and paid search, analyze keyword performance, partner on A/B tests, and present insights.

The DS/AI Tech Partner will lead business development in AI/ML, design enterprise-level data science solutions, and drive strategic initiatives, while mentoring teams and delivering client-specific outcomes.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

The role involves creating testable hypotheses using data, launching A/B tests, and partnering with analysts to improve game metrics. Responsibilities include presenting findings to non-analysts and using benchmarks for actionable insights.

Lead the analysis of game data, creating A/B tests and recommendations for user acquisition, while presenting insights to clients. Manage data integrity with engineers using SQL and BI tools.