Top Analytics Jobs in San Antonio, TX

The Sr. Analytics Engineer designs data models for reporting, collaborates across teams, and optimizes cloud-based data warehouses, particularly in healthcare settings.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to enhance Netflix's streaming product through analytics and experimentation, partnering with engineering.

The Senior Data Analyst will analyze large datasets to provide insights that drive marketing effectiveness and inform decision-making in financial institutions. This position involves strategic analysis, digital marketing analytics, and data visualization to enhance campaign performance and customer engagement.

Drive analytical insights and strategies for borrower acquisition and retention, partner with various teams to enhance growth, and mentor junior analysts.

Lead and mentor a team of data analysts, drive data analytics strategy, ensure data quality and governance, and deliver actionable insights across business functions.

The Senior Manager, People Insights & Analytics will develop analytics tools, build dashboards, conduct workforce analyses, and drive people strategies using data insights to improve talent management.

As a Data Analytics Audit Analyst II, you will analyze operational controls and utilize data analytics for audits and projects to ensure compliance and improvement.

The Sr. Game Data Analyst will lead data initiatives, optimize live games, and provide insights for player engagement and acquisition in mobile gaming.

The role involves leading meteorological research for catastrophe models, applying hybrid modeling approaches, analyzing weather data, and collaborating on risk analytics solutions.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

Lead efforts in designing and implementing analytical solutions, improve processes, and manage relationships across project teams in a healthcare setting.

The role involves developing quantitative modeling solutions to assess risks, collaborating with various departments, and effectively communicating insights through data visualization.

Lead Neo4j's PLG Marketing analytics strategy, turning data into insights to enhance user acquisition, activation, and monetization through reporting frameworks and analytical models.

The Director leads research data strategies, overseeing data management and analysis, guiding a multidisciplinary analytics team, and promoting data-driven decisions across the health system.

The Actuarial Consultant will lead pricing initiatives, collaborate with technology and data teams, and perform complex actuarial analyses for Personal Lines products.

The role involves designing solutions using Databricks and Python, building data models, and integrating data from Army ERP systems, requiring extensive experience and a Secret security clearance.

Lead Analyst of User Analytics & Insights will shape strategy through data, collaborating with teams to drive insights and measurable business impact. Responsibilities include data manipulation, experimentation, predictive modeling, and analytics project management.

The Associate Actuary analyzes data to forecast financial information, supports strategic decisions, and develops reports while collaborating with stakeholders.

As an Analytics Engineer, you'll design and implement data models, transform raw data into usable datasets, and create dashboards and reports using Tableau, collaborating across teams to meet business insights needs.

Lead a team of data analysts, ensuring accurate reporting, data integration, and analytics presentations while collaborating with agency partners.

As a Technical Consultant in Data & Analytics, you'll lead process improvements and technical delivery, guiding clients in optimizing Salesforce solutions and data governance.

Lead the development of scalable analytics solutions for content distribution, create metrics and dashboards, and collaborate with cross-functional partners.