Top Healthtech Data & Analytics Jobs

Lead business analysis to improve processes and support data-driven decisions: gather and validate requirements, document workflows, collaborate on solution design, develop reports and dashboards, track KPIs, analyze data, support implementations and testing, and mentor junior analysts.

The Business Intelligence Analyst at Crystal Run Healthcare will create reports and dashboards, gather requirements, and collaborate with development teams to support decision-making processes in healthcare operations.

Lead technical onboarding and integration of clinical and claims data, manage EMR/API/SFTP integrations, design data flows and documentation, perform data QA/validation, troubleshoot issues, and manage go-live and post-implementation support.

The Senior Biostatistician will perform statistical modeling and analyses, design clinical trials, and collaborate with cross-functional teams to support R&D objectives in biopharmaceuticals.

Perform data processing, exploratory analysis, visualization, KPI design and reporting to support clinical and non-clinical stakeholders. Build and validate analytical models, automate model deployment, conduct root cause analysis, create ad-hoc and periodic reports, and support business continuity planning, testing, training, and regulatory audits.

Design, build, and scale cloud lakehouse data products (Databricks/Snowflake) from ingestion to analytics-ready datasets using medallion architecture. Develop reusable Python frameworks, Spark pipelines, and dbt/SQL transformations. Implement data modeling, governance, observability, validation, and SLA monitoring. Troubleshoot production issues, adopt AI to accelerate engineering, and provide technical leadership, code reviews, architecture decisions, and mentoring for global engineering teams.

Build and maintain scalable cloud data pipelines and governance to support analytics across claims, EHR, and real-time patient data. Deploy and operate Snowflake/dbt/AWS-based infrastructure, enable real-time analytics, partner with clinical, product, and engineering teams, and deliver insights that inform care delivery, payer collaboration, and business decisions.

Perform advanced workforce and talent analyses, build self-service BI products and dashboards, generate and present insights to Talent and Executive leadership, collaborate with Finance and Human Capital for workforce planning, and partner with teams to identify opportunities for deeper analytics and process automation.

Lead technical design and delivery of enterprise data platform solutions using AWS S3 and Snowflake. Build scalable ETL/ELT and CDC pipelines, establish engineering standards, mentor data engineering teams, ensure data quality, governance, security, and operational readiness, and partner with stakeholders to deliver curated data products for analytics and AI.

Lead design, build, and operate a secure, scalable data platform to support analytics, MLOps, and BI. Architect data warehousing (Databricks, dbt, Spark), build ETL pipelines, optimize cloud storage and processing in GCP/AWS, implement LLM infrastructure and serving, create observability and BI dashboards, and ensure data governance and regulatory compliance (HIPAA/SOC-2). Collaborate with Data Science, ML, App, and DevOps teams.