Top Analytics Jobs in Austin, TX

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 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 Strategy & Analytics Intern will conduct research, analyze data, build process maps, and create reports to improve operational efficiency in brokerage services.

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.

This role requires strategic thinking and analytical expertise for market research, brand strategy, and senior management decisions in oncology.

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

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

The Analyst II will analyze customer risk, optimize fraud prevention strategies, develop data frameworks, and communicate findings to improve user experience and retention.

The Lead Data Analyst will utilize deep data insights to drive strategic initiatives within the Customer Success team, focusing on metrics, trends analysis, and cross-functional collaboration to enhance customer experience and operational efficiency.

The Data Analyst will analyze and transform complex datasets into actionable insights, supporting federal healthcare decision-making and ensuring data quality.

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

The Analytics Associate will develop analytical models, perform data analysis, create Excel models, and write SQL queries to support decision-making and improve business processes.

As a Staff, Advanced Analytics, New Business, you'll analyze data for new business extensions, collaborate with teams, define metrics, and conduct A/B tests to drive strategic decisions.

The role involves performing product usage analyses, designing A/B tests, leveraging AI tools for insights, and working cross-functionally to improve business performance metrics.

As an Analytics Developer, you'll analyze complex data using SQL, Python, and Excel, build analytics solutions, and present insights to stakeholders.

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.

The Data Analytics Associate will analyze healthcare data, support research projects, and develop insights for clients in the healthcare sector.

As an Advanced Analytics Intern, you'll conduct data analysis, collaborate with cross-functional teams, and present findings to drive business decisions.

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 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.

As an Analytics Intern at Praytell, you will support data analysis and insights generation for communications strategies, working with real client campaigns and helping to optimize performance across various media channels.

The Actuarial Analyst analyzes and forecasts data to support strategic decisions, ensures data integrity, and collaborates with stakeholders on business needs.

The Fraud Analytics Lead will design and implement strategies to mitigate fraud risks, leveraging advanced analytics and collaborating with cross-functional partners.

As a Senior Specialist in Data Analytics, you'll conduct high-quality data analyses and reporting, using SQL and analytics tools to support media decision-making for clients.

Lead the Credit Risk & Analytics function, utilizing AI/ML for underwriting, portfolio monitoring, and collections strategy to enhance risk performance.