Top Healthtech Data & Analytics Jobs

Lead and scale a horizontal Business Analytics team supporting multiple operational functions. Define analytics strategy, build dashboards and KPIs, translate ambiguous questions into actionable insights, coach analysts to deliver recommendations, and adopt AI tools to improve team effectiveness. Communicate findings to senior leadership and partner with cross-functional stakeholders to influence strategy and execution.

The Senior Data Engineer is responsible for building AI-driven healthcare automation systems, managing data workflows, and ensuring accurate reporting, particularly in healthcare claims processes.

The Data Analyst will generate client reporting using Python and SQL, maintain reporting scripts, conduct quality checks, and enhance data quality for performance analysis.

Design, build, and maintain a Microsoft Fabric Lakehouse and Azure Synapse data warehouse. Develop and optimize ETL/ELT pipelines, dimensional/semantic models, and data quality checks. Tune SQL and Spark workloads, implement monitoring/alerting, handle production incidents, and integrate source systems and APIs. Partner with stakeholders, follow Agile practices, document runbooks, and participate in code reviews.

Lead architecture and evolution of Headway's data platform (warehouse, ingestion, orchestration, CI/CD, monitoring, cloud infra). Serve as technical anchor across analytics, product, and ML teams, drive platform roadmaps, set standards, mentor engineers, and own end-to-end infrastructure decisions for scale and performance.

Design, develop, and maintain scalable batch and streaming data pipelines using GCP services, BigQuery, Python, and Java. Build optimized data models, integrate external systems, automate CI/CD deployments, and implement monitoring, governance, security, and access controls. Lead architectural decisions, improve data platform reliability and cost efficiency, create reusable datasets and catalogs, collaborate with stakeholders, and mentor junior engineers while supporting large-scale healthcare analytics.

Transforms data into actionable insights for CVS Health’s Direct-to-Consumer channels. Develops reporting solutions, quality dashboards, and analytics on agent behavior, quality trends, and process opportunities. Partners with Quality Assurance, Compliance, Operations, and Vendor Management to ensure data integrity and improve performance. Supports vendor oversight, internal reporting, and quality-monitoring innovation using tools such as Excel, SQL, and NICE CXone, with a focus on Medicare sales processes.

Develop and maintain data sources and SQL databases to support business decisions and VALET metrics reporting. Write and optimize SQL queries, maintain Excel reports, validate and troubleshoot data, and collaborate with IT and stakeholders to design and implement data solutions and communicate findings to technical and non-technical audiences.

Designs, develops, and maintains data pipelines, workflows, integrations, transformations, and data warehouses. Provides architecture guidance, troubleshoots more than 100 pipelines, supports stakeholders, creates reports, documents processes, participates in code reviews, mentors junior engineers, and translates business requirements into technical solutions while maintaining healthcare data privacy and security compliance.

Develops and maintains scalable data models, pipelines, centralized data layers, and domain-specific data marts. The role harmonizes enterprise data, defines orchestration strategies, applies governance and quality frameworks, and uses dbt for documented and tested transformations. It partners with business stakeholders to gather requirements and deliver data products that support self-service analytics and informed decision-making. Strong communication skills are required to explain technical concepts and analytical outcomes to technical and non-technical audiences.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Leads enterprise data architecture and infrastructure strategy, designing data warehouses, data lakes, and hybrid cloud solutions. Establishes governance, security, automation, DevOps, and CI/CD practices while evaluating emerging technologies such as AI and machine learning. Partners with executives and cross-functional teams on data strategy, cloud roadmaps, resource planning, cost optimization, integrations, and troubleshooting. Serves as an organization-wide subject matter expert and mentor.

Leads enterprise strategic insights and predictive modeling, guiding high-ROI analytics priorities and strategic products. Partners with senior, regional, medical, service-line, and technology leaders to translate complex quantitative and qualitative findings into clear, actionable recommendations. Drives initiatives from strategy through implementation, manages change, supports measurable organizational outcomes, and mentors analytics staff.