Top Healthtech Data & Analytics Jobs

Design, build, and maintain scalable data models and pipelines using Python and SQL. Collaborate with product and SMEs to create analytics-ready healthcare datasets, maintain data engineering systems, document solutions, and iterate based on product feedback.

Lead healthcare data analysis and quality efforts across claims, pharmacy, and enrollment data. Translate business needs into technical requirements, build complex queries, recommend process and data improvements, manage projects, and mentor team members while liaising between operations, R&D, and IT.

The Epic Business Intelligence Developer creates analytics content for Epic data, configures applications, writes SQL reports, and manages data models and analytics catalogs.

The Senior Data Officer will lead FNIH's data strategy, governance, and infrastructure, ensuring data is a secure asset supporting scientific partnerships and research initiatives.

Lead product analytics initiatives to optimize product adoption and revenue growth while serving as a trusted thought partner to senior leaders.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The NetSuite Systems Engineer supports the NetSuite Administrator by providing technical support, managing NetSuite ERP, ensuring data quality, and facilitating user training and documentation.

The role involves overseeing statistical programming for oncology trials, providing guidance on regulatory submissions, managing cross-functional collaboration, and ensuring compliance with CDISC standards, while also leading programming teams and projects.

The Director of Data and Analytics will lead and grow the data function, overseeing team development, strategic execution, governance, and data integrity in a healthcare-focused environment.

This role develops foundational reporting and dashboards, collaborates with stakeholders to gather data requirements, and ensures data integrity while leveraging analytics and AI to support category strategy and execution.