Top Healthtech Data & Analytics Jobs

Support territory mapping for Outreach team, build analytical models for workforce planning, and partner with leadership for hiring decisions while using AI tools.

The Data Solutions Engineer will design and deliver data and analytics solutions, manage data pipelines, and support cloud platforms while collaborating with various teams to improve data accessibility and operational efficiency.

Build and maintain web crawling and scraping pipelines to collect, transform, and deliver third-party healthcare data. Research sources, assess feasibility, implement extraction strategies, test for quality, and maintain scrapers when sources change. Participate in weekly standups and initial fundraising activity.

The Senior Data Platform Manager will lead data pipeline design, collaborate with stakeholders, implement security practices, and manage a team, improving data systems.

Provide data analytics support for construction scheduling and field operations: become SME on related datasets, build and maintain dashboards, validate and cleanse data, recommend process and tooling improvements, collaborate with business leaders and technology partners to deliver insights that inform operational decisions.

Provide analytic and consultative support to internal customers; translate requirements into decision-support applications; model data flows; develop complex programs and reports (SAS, R, SQL) using enterprise databases; propose and lead data-driven solutions; prepare findings and presentations for stakeholders; define data policies and security frameworks.

Lead technical strategy and roadmap for an enterprise Databricks-based data platform. Drive governance, metadata, lineage, and semantic layer standards; build reusable data products; enable self-service analytics and scalable ML operations; mentor engineers and align platform investments with business outcomes.

As a Senior Manager at BMS, lead the deployment and management of analytics assets, collaborate with cross-functional teams, and implement CI/CD practices while ensuring robust data security and governance policies.

Lead and modernize the healthcare analytics function, build automated client reporting infrastructure, drive claims and member data analysis, implement metric governance and data quality, leverage LLMs/RAG for AI-informed insights, partner with cross-functional teams and clients, and hire and develop a high-performing analytics team while ensuring HIPAA compliance.

Designs, develops, tests and implements enterprise data warehouse objects and metadata for assigned domains. Collaborates on data model design, ETL development and testing, coordinates QA, recommends improvements, and supports less-experienced team members.