Top Data & Analytics Jobs in Austin, TX

Manage Finance-focused data products, collaborating with teams to define requirements and drive delivery for financial analysis and reporting.

The role involves partnering with stakeholders to interpret data for business insights, facilitating discussions, and improving data quality. Requires a strong statistical background and expertise in communicating findings to non-technical audiences.

As a Meteorologist, you will use forecasting tools to identify weather events impacting clients, communicate weather information, partner with analysts, and support customer webinars, all while working with a flexible schedule in a fast-paced environment.

Lead and grow a data engineering team that designs, builds, tests, and operates large-scale data pipelines and warehouses. Partner cross-functionally to translate requirements, ensure data quality, observability, SLAs, security, and governance, and drive automation and performance for analytics, ML, and product use cases.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

Assist in developing, testing, and maintaining software applications, collaborate on designs, participate in code reviews, and contribute to documenting processes.

The Director of Business Intelligence & Data Strategy will transform data organization, lead AI-first data strategy, establish governance, and influence executive leadership for measurable business impact.

The Business Analyst Intern will analyze complex data to provide insights for strategic decisions, create visual reports, and support data-driven improvements within Revenue Operations.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.