Top Remote Data & Analytics Jobs in Austin, TX

The RCM Performance Analyst will analyze revenue cycle data and performance metrics, resolve billing errors, and provide insights to optimize processes, working collaboratively with various stakeholders.

The Insights Lead Analyst will create and lead analytics strategies, conduct data analysis, maintain reporting accuracy, collaborate with cross-functional teams, and communicate insights to clients to drive marketing decisions. The role requires a strong understanding of quantitative methods and data visualization.

The Lead Data Engineer will develop an innovative cloud-based command and control system for DoD projects. Responsibilities include improving data services, database modeling, collaborating on software development, ensuring data quality, writing high-quality code, and leading a team in an Agile environment.

The Director of Data Product Management at Rush Street Interactive will lead the data product roadmap, collaborate with internal teams on data-driven approaches, and manage the selection and usage of data tools. Responsibilities include defining metrics, leading cross-functional meetings, and ensuring effective data processes and products.

The Operations Reporting and Analytics Specialist analyzes data across various operational functions, collaborates with leaders to forecast staffing needs, and develops models for resource monitoring. This role ensures data integrity, provides actionable insights, and supports leadership in strategic decision-making regarding staffing levels and operational trends.

The Data Annotation Specialist will annotate and label objects for deep learning training, preprocess datasets, and collect data on labeling efficiency. The role requires precision in following guidelines and the ability to focus on repetitive tasks, with an emphasis on improving data quality.

The Principal Biostatistician will lead statistical support for clinical studies, providing expertise in study design, analysis, and reporting. Responsibilities include collaborating with teams, overseeing statistical work, ensuring deliverable integrity, and participating in regulatory submissions. The role demands innovation in statistical methodologies and contributes to departmental growth through process improvements and research.