Top Data & Analytics Jobs in Austin, TX

The Data Analyst will measure product effectiveness for the Online Store, perform analysis and reporting, and collaborate with stakeholders to drive insights and decisions.

The role involves configuring, testing, and maintaining Workday Payroll and Time Tracking systems, ensuring compliance and efficiency in HR processes. The candidate will collaborate with various teams to optimize Workday functionalities and manage system testing and reporting.

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

The Senior Revenue Operations Analyst will enhance GTM data quality, integrate 3rd party data into CRM, and solve data issues collaboratively with various teams.

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 Business Analyst will bridge business needs with technical solutions, focusing on process improvements, data analysis, project management support, and ensuring successful technology implementation across teams.

As a Data Science Platform Engineer, you will enhance predictive models, develop tools for real-time predictions, expand NLP capabilities, and ensure production system performance within a collaborative team.

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.

The Data Engineer is responsible for building and maintaining optimized data pipelines, developing data platforms, and supporting data science initiatives while collaborating with various departments.

The Senior Data Architect will lead the design and implementation of data architectures, ensure data governance, and manage data quality across platforms.