Top Healthtech Data & Analytics Jobs

Oversee encounter system processes, optimize submissions and ensure compliance with external partner requirements while leading projects and supporting reporting needs.

Lead end-to-end measurement, experimentation, and optimization of engagement programs. Design A/B and multivariate tests, analyze funnels and cohorts, own reporting and dashboards, validate data pipelines, and translate insights into strategic recommendations for clients and executives.

The Product Analyst supports solution delivery, manages requirements using JIRA, collaborates with teams, and analyzes RCM workflows to ensure alignment with defined requirements.

The Expert Business Analyst will lead the requirements gathering and implementation of Salesforce features, focusing on the Customer Experience portal and Service Cloud functionality. They will act as a liaison between stakeholders and technical teams, ensuring alignment on business needs and functional specifications, while supporting Agile processes.

The Senior Data Analyst will analyze data to provide actionable insights across various teams, create dashboards, and ensure high-quality data availability.

The Senior Analyst in Strategic Finance will analyze data to inform decision-making, drive revenue forecasts, and influence commercial deal strategies, while collaborating with stakeholders across the organization.

As a Senior Data Engineer, you'll design and optimize data systems and pipelines, lead integrations, ensure data quality, and collaborate with cross-functional teams to enhance data infrastructure.

Design enterprise-grade data solutions using Databricks and Azure, optimize data pipelines, ensure compliance, and lead integration architecture efforts.

Provide second-level support for EDI clients, troubleshoot issues, and script medical billing conversions to meet claims requirements using proprietary scripting techniques.

Implement client revenue cycle data into company systems by creating and configuring ETL processes, building data transformations and logical/physical schemas, documenting solutions in Jira, attending client meetings, and mentoring team members to ensure post-implementation data integrity.