Top Fintech Data & Analytics Jobs in Austin, TX

Lead the development and implementation of automation techniques using AI and machine learning to improve life underwriting operations and processes.

The Business Intelligence Manager leads analytics and reporting solutions, ensuring alignment with business strategy, team development, and modern BI practices.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.

The Business Analyst will manage the Quote-to-Cash lifecycle, liaising between IT and functional teams, and ensuring successful implementation of system updates while documenting requirements.

The Senior Data Engineer will design, build, and maintain scalable party data solutions, integrating cloud-native platforms and improving legacy systems while mentoring junior engineers.

The Revenue Insights Lead transforms revenue data into actionable insights, drives operational excellence, and measures the impact of enablement programs through analytics and strategic partnerships.

Lead the North America Analytics team at Visa, developing machine learning models and analytics strategies to combat fraud while managing customer relationships and team performance.

The Manager of Data Science for Fraud Incidents will lead a team to analyze and mitigate fraud attacks, develop data models, and collaborate with cross-functional teams to enhance fraud analytics and reporting capabilities.

This role involves designing and maintaining data pipelines, creating dashboards, and collaborating with stakeholders to drive analytics solutions for external data products.