Top Healthtech Data & Analytics Jobs

As a Trainee Data Analyst, assist in data collection, cleaning, analysis, and support teams with reporting needs using SQL and visualization tools.

Design, build, and maintain scalable analytics solutions: data modeling, ETL/pipelines, integrations with SaaS and visualization tools, mentor engineers, review code, support production systems, and drive technical strategy.

Design, build, and support data infrastructure and pipelines for operational and analytics workflows. Collaborate with product, engineering, and customers to deliver scalable, secure, performant data products; own BI, streaming, ETL, and deployment practices; promote trusted, accessible data and drive data team outcomes.

The Client Advisory Analyst role involves advanced data analytics, managing client relationships, and delivering customized analytical insights to drive performance improvement.

The SAP SD Analyst supports and optimizes Sales and Distribution processes in SAP S/4HANA, focusing on Order-to-Cash processes, integration, and troubleshooting.

The Director of Data Engineering leads the development of data platforms to support analytics in cancer care, overseeing architecture and engineering while mentoring a team.

Develop, maintain, and publish supply chain and manufacturing BI dashboards and reports (OBIEE/Power BI/Excel). Partner with IT and stakeholders to migrate data, validate accuracy, automate recurring reports, troubleshoot issues, and provide training to improve operational efficiency and decision-making.

Lead and supervise a data analysis team responsible for designing, implementing, maintaining, and supporting data warehouse systems. Manage data reporting, modeling, dashboards, and BI solutions, ensure data quality and audits, provide on-call support, translate stakeholder requirements into technical solutions, document procedures, and mentor staff to meet SLAs and organizational objectives.

The Product Analyst will manage the product experience, consult clients, collaborate with internal teams, and guide new features in biotech and pharma contexts.

Lead design, build, and optimization of the global commercial data architecture and pipelines. Integrate disparate sources, enable analytics/BI reporting, define data governance and modeling standards, translate stakeholder needs into data solutions, and support advanced analytics and predictive insights across Sales, Finance, and Commercial Operations.