Top Healthtech Data & Analytics Jobs

Leads Healogics’ data engineering team and enterprise data platform strategy. Owns SQL Server warehouse reliability, ETL, OLAP, SSRS, data architecture, modeling, governance, security, and production support while directing migration to Databricks. Translates business needs into scalable data solutions, establishes engineering standards, manages vendors and implementation partners, and partners with executives, analytics, application, cybersecurity, and infrastructure teams.

Develop and maintain Workday reports, dashboards, scorecards, calculated fields, and analytics for HR, Finance, Payroll, Grants, Procurement, and leadership. Translate business requirements into scalable reporting solutions, support Workday business processes and upgrades, troubleshoot workflow and security issues, and assist with enterprise data warehousing, ETL, historical data integration, mappings, metadata, and validation.

Build and maintain production-grade data pipelines, connectors, and harmonized snapshots across clinical studies and applications. The role covers ingestion, transformation, orchestration, data modeling, quality controls, monitoring, lineage, auditability, regulatory compliance, CI/CD, and integration with Databricks and Snowflake environments. The engineer will validate source data, manage schema changes, optimize performance, and collaborate with platform and AI engineers to support reliable data and AI applications.

Leads Oscar Health’s Analytics Engineering function, setting enterprise data strategy, operating models, governance, quality, lineage, and observability standards. Oversees multi-team organizations, builds trusted reusable data products, expands self-service analytics, enables responsible AI, and partners with executives on transformation priorities, investments, and outcomes. Develops managers and senior technical talent while improving data reliability, delivery speed, adoption, and cost efficiency.

Develop and maintain Python scripts and automated workflows for NLM metadata management. Integrate Alma, OCLC, and other systems through APIs and batch exchanges; process, transform, validate, reconcile, and analyze bibliographic and authority metadata in formats including MARC, XML, JSON, and CSV. Implement logging, exception handling, reporting, and documentation while supporting workflow testing, systems integration, and automation improvements.

Provides senior-level data analysis, compliance reporting, qualitative and quantitative research, business intelligence, dashboards, and program measurement for the Personal Financial Counselor financial disclosure and conflict-of-interest program. Tracks certification, readiness, onboarding, and workforce metrics; identifies trends and risks; develops executive reports and actionable recommendations; supports audit readiness, process improvement, and cross-functional program decision-making.

Develops reporting solutions, ETL processes, database structures, and documentation to strengthen business intelligence capabilities. Participates in agile meetings, design sessions, code reviews, production support, and requirements definition. Maintains reporting and database architecture knowledge, ensures coding standards, troubleshoots customer issues, and mentors team members. Requires business intelligence experience or relevant education, along with SQL Server, T-SQL, database development, analytical, communication, and problem-solving skills.

Build network, demand, pricing, and partner analytics for specialty pharmacy and infusion networks. Develop claims-based prevalence, volume, geographic capacity, pricing, routing, and impact models; create scalable tools with Engineering; automate analyses using AI; support enterprise sales with client-specific insights; and provide executive recommendations on pricing, partnerships, and growth.

Designs and maintains secure, reliable data platforms, including relational data models, migrations, pipelines, monitoring, data quality processes, and self-service reporting access. The role protects PHI and PII through access controls, encryption, audit logging, and governance in a HIPAA environment. It also involves backend API development, code reviews, security reviews, stakeholder collaboration, and mentoring teams on data practices.

Builds and maintains automated dashboards, reporting, KPIs, and analytical tools for transplant logistics. Mines and transforms large datasets using SQL and Python, applies statistical analysis, and delivers actionable insights to Product, Finance, Logistics, Clinical, and Technology teams. Supports logistics network design and evaluates big data technologies while translating business needs into scalable data solutions.