Top Healthtech Data & Analytics Jobs

Enter and verify participant data across EHR and contract systems, process billing/invoices, send/follow up on service verifications, receive/distribute faxes, research and correct data errors, assist with basic computer issues, and maintain confidentiality and required clearances/certifications.

Support PALU by building reproducible code and ETL pipelines to transform program data, develop dashboards and automated reports, design and deploy ODK/XLSForms and DHIS2 forms, monitor data quality, provide field technical assistance and training, and integrate MEL insights into program decision-making and proposals.

Develop, maintain, and optimize scheduled and ad-hoc reports from EHR and other data sources. Query complex relational databases, validate results, modify and test reports, deploy reporting solutions, support end users, and partner with leadership on projects, trainings, and continuous improvement to deliver accurate, actionable data for organizational decision-making.

As a Senior Analyst, you will develop data-driven solutions in collaboration with operations teams and deliver insights through reports and dashboards to improve patient outcomes.

Analyze card performance and customer behavior, design and evaluate A/B tests, build dashboards and KPIs, create financial models and business cases, partner with cross-functional teams, improve data infrastructure and reporting, and deliver executive-ready insights to optimize card growth, engagement, and profitability.

Hands-on role combining analytics, AI-driven automation, and operations. Build and maintain dashboards and reporting, write SQL against the data warehouse, identify and deploy workflow automations, support escalations, document SOPs, and run cross-functional projects to scale credentialing, licensing, and payer enrollment operations.

Lead architecture and ownership of an enterprise Databricks/Azure data platform, design scalable ETL/ELT pipelines and integrations (HL7/FHIR), enforce governance and security for healthcare data, optimize performance/costs, drive CI/CD and IaC, and mentor engineers while partnering cross-functionally to deliver interoperable data solutions.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

Build and maintain Salesforce reports and Sigma dashboards, manage CRM data hygiene and Data Cloud integrations from the Databricks data lake, handle ad-hoc commercial reporting, and support AI initiatives tied to sales and commercial strategy.

Design, build, deploy, and support high-performance data pipelines on GCP. Collaborate with business, IT, analysts, and data science teams to capture requirements, ensure data quality and lineage, optimize pipeline performance, document designs, and troubleshoot operational issues.