Top Healthtech Data & Analytics Jobs

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.

Lead marketing measurement and visualization efforts by designing measurement frameworks, building interactive dashboards (Tableau), analyzing multi-channel marketing performance, and advising executives to drive data-driven marketing decisions.

Provide enterprise analytics expertise supporting reports, dashboards, and analytic tools. Coordinate and complete analytical requests via ServiceNow, resolve complex technical issues, participate in projects and decision-making, transfer knowledge to peers, and ensure standardized development and high customer service.

Lead enterprise data platform strategy and architecture, define data standards and governance, drive Snowflake maturity, oversee legacy data migrations, design ingestion and DataOps patterns, and enable analytics, reporting, AI, and reusable data products across the organization.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Design, build, and maintain cloud data warehouse solutions and scalable ETL/ELT pipelines using dbt, SQL, Python, and AWS services. Develop dimensional data models, curated data marts, and reusable transformation frameworks to support reporting, self-service analytics, operational apps, and AI initiatives. Collaborate with stakeholders, follow CI/CD and testing practices, and optimize performance and scalability of data workloads.