Top Healthtech Data & Analytics Jobs

The Solutions Architect IV - Data Analytics will engage with stakeholders, define data architecture best practices, design data integration workflows, develop enterprise BI dashboards, and oversee cloud data warehouse optimizations.

The Senior Business Analyst will analyze healthcare data, manage requirements for data warehousing projects, and contribute to Business Intelligence initiatives. Responsibilities include data aggregation, understanding database structures, EDI claims, and conducting data quality checks.

The Lead Data Analyst will solve complex business problems using large datasets, automate workflows, and provide insights to influence marketing and growth strategies. Responsibilities include data analysis, statistical modeling, and collaboration with various teams to improve efficiency and decision-making.

Own reconciliation and validation of client billing across internal systems, build repeatable data-quality checks and documentation, support Client Group with reporting and dashboards, investigate discrepancies, and drive process improvements and automation to reduce billing friction.

Own ingestion, transformation, validation, and normalization of clinical and EHR data pipelines (HL7 v2, FHIR, CDC) into performant Snowflake and MySQL schemas. Build and monitor AWS-based pipelines, ensure data quality and PHI-compliant handling, and support downstream ML and application needs across enterprise integrations.

Analyze revenue cycle data, create dashboards and exception reports, identify root causes of denials, model revenue, implement Epic RCM improvements, collaborate with billing/coding/finance and vendors, and present findings to stakeholders.

Lead analytics and insights for the CFO and exec team: produce executive-ready analyses, design scalable analytics infrastructure, leverage AI to accelerate workflows, partner cross-functionally to drive strategy and execution, and manage multiple high-impact initiatives.

Lead institute-wide data governance, metadata standards, and lifecycle management for large multimodal biological datasets. Own data stewardship, cataloging, and compliance (NIST/HIPAA), drive adoption of standards, advise scientific and technical leaders, and lead cross-functional initiatives to improve discoverability, reuse, and long-term data sustainability.

Lead Daybreak's end-to-end data platform and analytics to inform business decisions: build and maintain dbt/Snowflake pipelines, dashboards, predictive models, and AI-powered workflows; partner cross-functionally to drive forecasting, ops improvements, and measurable initiatives that connect data to financial and operational outcomes.

Build and maintain enterprise data platform and ETL/ELT pipelines, design and deploy data models, ensure data quality and governance, integrate third-party sources, and support analytics and AI initiatives across the organization.