Top Remote Data & Analytics Jobs in Austin, TX

The EDI Analyst at Availity conducts analysis and resolution of EDI processes, collaborates with partners, and documents issues for system integrations. They ensure that technical problems are identified, escalated, and resolved efficiently while providing feedback for improvement.

As a Data Engineer at Verifiable, you will design and implement data automation and monitoring solutions, ensuring high availability of data environments. Your role includes data collection, analysis, modeling, visualization, and collaborating with teams to integrate insights into business strategies. You will leverage your expertise in Python, SQL, and DBT to maintain stable data flow solutions.

As a Senior Data Engineer at Apptegy, you'll develop and optimize data ingestion and architecture, collaborate with key teams to enhance data-driven features, build robust ETL pipelines, and support stakeholders with technical data challenges.

The Data Scientist will analyze healthcare data to measure outcomes of health products, generate insights from various data sources, collaborate with operations and clinical teams, and improve predictive models. This role focuses on utilizing statistical methods and machine learning to enhance health interventions.

The Senior Customer Experience Researcher delivers actionable insights through customer survey data and analysis. This role involves developing survey methodologies, managing data, conducting statistical analyses, and preparing reports and presentations for senior leadership. The researcher collaborates with various teams to improve customer experience and addresses business needs through research findings.

As a Research Intern at Centerstone, you will conduct research interviews, manage and analyze client data, utilize electronic health records, and present findings to clinical staff, all while being supervised by experienced associates.

The Director of Actuarial Data Management will lead the actuarial data strategy, enhancing data accessibility and governance. This role involves managing cloud-based data systems, integrating AI for efficiency, and overseeing transitions from legacy systems to modern platforms, all while ensuring compliance with data governance standards.