Top Healthtech Data & Analytics Jobs

Entry-level analyst supporting healthcare consulting engagements: acquire and clean data, build datasets, perform statistical analyses (regression, clustering, forecasting, survival), generate charts/reports, identify insights, support primary research and survey QC, and contribute to client deliverables while following firm procedures and pharmacovigilance requirements.

The Senior Data Engineer will architect and scale data infrastructure, focusing on HRIS, Market Research, and Revenue Cycle pipelines, manage data products using Dagster, and oversee data governance while mentoring junior engineers.

The Business Data Analyst II will design and optimize business intelligence solutions, develop data pipelines, troubleshoot SQL queries, and support data-driven decision-making across teams.

The Senior Statistical Programmer leads statistical programming for clinical trial data, ensures quality and standards, mentors junior staff, and handles regulatory submissions.

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.

As a Senior Data Engineer, you will design, build, and scale data pipelines and analytics capabilities, focusing on data modeling, ingestion, and automation using Python and PySpark in a healthcare context.

The Associate Director leads data and analytics strategies, oversees solution architecture, and collaborates cross-functionally to deliver impactful insights across corporate, finance, and supply chain functions.

The Data Migration Specialist will oversee the migration of customer data from legacy systems into Prospyr, ensuring data accuracy and reliability through validation, QA checks, and collaboration with cross-functional teams to support customer onboarding and go-live processes.

Lead and scale the data analytics function, manage a distributed analytics team, deliver actionable insights, and oversee analytics projects.

Build, maintain, and monitor data pipelines and REST API integrations across SaaS systems using Azure SQL, Power Platform, Tray.io, and Power BI. Improve data quality, automate workflows, support stakeholders, troubleshoot issues, and document integration standards to enable reliable reporting and analytics.