Top Healthtech Data & Analytics Jobs

Design and drive Elanco's Databricks platform capabilities: define reference architectures, enable product teams, build scalable data pipelines, prototype integrations, automate processes, partner with stakeholders and vendors, and ensure alignment with enterprise data and AI architecture.

The Vice President of Clinical Data & Analytics leads analytics strategy and infrastructure, driving insights to optimize healthcare outcomes and manage costs. They collaborate with executives to enhance clinical programs, improve client reporting, and ensure data-driven decisions. Responsibilities include overseeing data integration, leading HEOR initiatives, and managing a high-performing analytics team.

The Data and Reporting Analyst will perform data analysis, develop reports and visualizations, ensure data accuracy, and present insights to stakeholders to improve customer experience operations.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

The Staff Data Engineer will lead the architecture and reliability of Hinge Health's data platform, manage technical complexity across teams, set data standards, and enhance engineering practices.

The role involves building and maintaining data pipelines, ensuring data quality, and collaborating with clinical researchers to provide clean datasets for analysis.

The Business Analytics Associate will design and report business analytics, ensure data accuracy, and analyze data for various business reports.

The Analytics Developer designs analytical solutions, develops Power BI dashboards, optimizes SQL queries, and ensures data quality while collaborating with stakeholders.

The Senior Business Intelligence Analyst develops analytics capabilities, collaborates with stakeholders, drives data-driven decisions, and communicates findings effectively. Requires extensive experience in business analytics.

The Data Analyst will interpret data, develop analysis and reporting capabilities, monitor performance, and identify process improvements.