Top Data & Analytics Jobs in Austin, TX

The Staff Analytics Engineer is responsible for defining, modeling, and governing the enterprise data layer, ensuring accurate and auditable reporting across the organization. Key tasks include managing data contracts, enforcing data quality standards, and collaborating with multiple teams to maintain a consistent data model.

The Business Intelligence Developer collaborates to identify analytics gaps, designs scalable data models, and delivers dashboards and insights, optimizing existing resources while ensuring accuracy and accessibility.

The Financial Data Analyst will own financial reporting and analytics, manage budgets, develop KPIs, and ensure accurate financial metrics for leadership decision-making.

Perform hands-on data cleansing, linking, validation, and standardization; monitor and report data quality metrics; identify recurring issues and recommend process or automation improvements; organize and streamline workflows; maintain documentation and data standards; test and provide feedback on tools and AI-assisted features; serve as a point of contact for data integrity questions.

The Staff Financial Analyst will manage budgeting and forecasting, develop financial models, automate reporting, and collaborate across departments to enhance financial operations.

The Revenue Cycle BI Developer will design and implement data extraction solutions, conduct data analysis, and support reporting needs using various BI tools.

Lead the Core Analytics team, manage data engineering standards, design analytics architectures, and mentor team members while ensuring data integrity and analytics effectiveness.

The Capital Analytics Lead will analyze capital, margin, liquidity, and counterparty risk, support regulatory engagement, and produce insights for senior leadership.

The Business Analyst will identify business needs, analyze data, develop solutions, collaborate with teams, and communicate recommendations effectively.

The Principal Biostatistician leads biomarker analysis for clinical studies, develops evaluation plans, conducts data analyses, mentors staff, and ensures accurate statistical deliverables while collaborating across teams.