Top Healthtech Data & Analytics Jobs

Designs and maintains healthcare data pipelines, ETL workflows, databases, data models, and analytical frameworks. Analyzes claims and payer data to identify trends and insights, while ensuring data quality and integrity. Creates reports, dashboards, and visualizations for nontechnical stakeholders and collaborates with healthcare policy experts, analysts, and other stakeholders to translate requirements into data solutions. The role also improves data infrastructure and analytics capabilities.

Provides operational and analytical support for institutional research, including data cleaning, validation, pipeline maintenance, survey administration, course and faculty evaluation systems, compliance reporting, and accreditation evidence management. The role prepares datasets for reports, dashboards, and predictive models; monitors data integrity; analyzes survey results; maintains tracking logs; and collaborates with academic and administrative departments on data collection, assessment, and institutional planning.

Leads the design, development, maintenance, and implementation of complex ETL pipelines across structured and unstructured data sources. Establishes scalable, metadata-driven integration patterns, improves data quality and maintainability, performs root-cause analysis, and supports secure data solutions. Collaborates with stakeholders, maintains ETL platforms and cloud services, advances engineering best practices, and mentors team members.

Lead data analysis for product and customer decision-making by defining metrics, measuring adoption, engagement, retention, and customer health, and translating complex data into actionable insights. Partner with product, engineering, customer success, and sales teams; automate and improve data processes; support product strategy and customer reviews; strengthen data governance; and mentor analysts.

The Data Analyst position requires U.S. citizenship and that all work be performed within the continental United States, Alaska, or Hawaii. The listed annual pay range is $90,000 to $110,000.

Build and maintain analytics-ready datasets and semantic models in Microsoft Fabric using SQL, dimensional modeling, DAX, and Power Query. Validate data quality, standardize metrics, support BI reporting, improve dataset usability, and align models with governance and architectural standards. Collaborate with BI developers, ETL engineers, business stakeholders, and data governance teams to deliver trusted, reusable analytical assets.

Leads and scales a global data engineering and analytics team while remaining hands-on with architecture, pipelines, data quality, dimensional modeling, dashboards, reporting, and customer-facing deliverables. Owns the analytical data platform supporting clinical, operational, product, financial, and customer data. Partners with cross-functional stakeholders, investigates complex data issues, improves platform reliability and security, and mentors engineers.

Leads Magellan Health’s enterprise data and analytics strategy, modernization, engineering, governance, business intelligence, and AI/ML enablement. Oversees data platforms, pipelines, quality, lineage, compliance, and reporting while partnering with clinical, operational, and financial stakeholders. Builds and develops a 30+ person organization, manages a $3M–$5M budget, oversees vendors, and presents investment cases to executive leadership. Drives transformation from a low-maturity environment to a governed, insight-driven enterprise data platform.

Design, build, test, and maintain scalable ETL/ELT pipelines and cloud data solutions (Azure, Databricks, Synapse, Snowflake). Optimize SQL/C# data processing, implement data validation and CI/CD, leverage AI tools to automate workflows, collaborate with stakeholders, and support SharePoint environments.

The Senior Clinical Trials IT Business Analyst bridges Clinical Development and IT, optimizing clinical trial technologies and managing system implementations, validations, and stakeholder engagement.