Top Senior Analytics Jobs in Austin, TX

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

The Principal Data Scientist will analyze data to drive pricing strategies, enhance marketplace performance, and collaborate with cross-functional teams to design impactful experiments and dashboards.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

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.

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 Head of Strategy, Analytics, and Optimization will lead analytics efforts in simplifying agricultural lending processes, focusing on risk management, automation, and business growth. Responsibilities include developing models, overseeing teams, and ensuring adherence to regulations.

The role involves leading pricing strategy and analysis for auto lending, collaborating with cross-functional teams to enhance pricing models and drive profitability.

The VP, Data Science and Campaign Analytics will lead data-driven initiatives, develop predictive models, support campaign execution and analysis, and ensure compliance with analytics governance.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.