Top Healthtech Data & Analytics Jobs

Support actuarial and data analytics for risk-adjusted lines (ACA, Medicare Advantage, Medicaid). Analyze risk scores, financial impacts, and performance metrics; produce projections (CMS-HCC, HHS-HCC), inform risk adjustment strategy, reporting, pricing, and forecasts; evaluate vendor performance and intervention ROI; support ACA pricing and MA bid submissions.

Lead e-commerce analytics to drive commercial impact: build used dashboards, analyze acquisition/retention/funnel/channel performance, ensure tag/data-layer integrity (Tealium iQ), support A/B testing, and present actionable insights to stakeholders to grow online revenue.

Develop and lead healthcare analytics and BI solutions for HIS products: design, code, and deliver enterprise-scale applications and dashboards, work with AWS data services and BI tools, support product development and troubleshoot reporting issues for global customers.

The Cloud Data Engineer designs and supports scalable Snowflake and Azure data architectures, environments, and ETL/ELT pipelines. Responsibilities include Snowflake performance and cost optimization, Azure resource management, security controls, troubleshooting, documentation, design reviews, and collaboration with architecture, engineering, BI, and security teams. The role also contributes to software development, testing, debugging, mentoring, and data warehouse and data mart implementation.

Creates business intelligence solutions and analyzes complex data to support strategy, finance, revenue cycle, operations, and marketing decisions. The role develops productivity reports and dashboards, benchmarks clinical practice performance, recommends fiscal improvements, prepares presentations, and advises physicians using actionable data. Responsibilities include learning Excel, Tableau, and EPIC reporting systems, collaborating with internal stakeholders across clinical office sites, and supporting physician productivity optimization.

Analyzes organizational and clinical data, develops reports, dashboards, visualizations, surveys, and reporting tools, and presents findings to leaders and boards. Audits data quality, improves workflows and system integration, maintains reporting configurations, supports quality improvement and patient management initiatives, and trains users on data systems. The role collaborates with stakeholders, ensures privacy compliance, and travels between organizational and partner sites as needed.

Develop and maintain Power BI dashboards, reports, scorecards, data models, and analytical solutions for healthcare revenue cycle operations. Gather requirements, write and optimize SQL, validate data, resolve discrepancies, and deliver actionable financial and operational insights. Collaborate with leadership, technical teams, internal stakeholders, and clients while managing reporting projects, UAT, enhancements, automation, benchmarking, reimbursement analysis, and trend analysis.

Own Doctronic’s end-to-end data platform, including CDC pipelines from production databases into S3, Iceberg, and Snowflake; dbt transformations; orchestration; warehouse architecture; monitoring; and governed access to PHI. Establish trusted, documented data layers for analytics, finance, dashboards, and AI model training. Implement HIPAA-compliant access controls, anonymization, and deletion workflows while partnering autonomously with product, finance, marketing, partnerships, and AI teams.

Leads analytics delivery across multiple clients, combining marketing data to evaluate performance, optimize investments, and inform growth decisions. Designs and implements advanced measurement approaches including attribution, incrementality testing, experimentation, and full-funnel measurement. Develops measurement frameworks, communicates insights to clients and senior stakeholders, partners with technical and marketing teams, supports new business, and mentors junior analysts.

Own and scale automated patient-data ingestion and transformation pipelines from EMR systems into clinical-trial matching workflows. Design reliable asynchronous, queue-based, containerized architectures; manage schemas, validation, data quality, monitoring, and production issues. Partner with AI and product engineering teams on healthcare data foundations, APIs, scalability, and trustworthy clinician-facing workflows. Operate autonomously in a startup environment while applying strong systems thinking and pragmatic technical judgment.