Top Healthtech Data & Analytics Jobs

Work with the data team to design, build, and maintain scalable ETL pipelines and data models using Microsoft Fabric, dbt, PySpark, and SQL. Integrate and validate data across layers, optimize performance in Azure, follow GitHub CI/CD workflows, and document data governance while collaborating with cross-functional stakeholders.

Design and build a medallion architecture using dbt and Microsoft Fabric, create and maintain data ingestion pipelines, and implement governance, lineage, documentation, and quality checks to support self-serve analytics while collaborating with cross-functional teams.

Design, build, and maintain enterprise ETL/ELT pipelines and cloud-native data solutions using Azure Databricks, ADF, Azure SQL/Synapse, and Python. Optimize data models and SQL performance, support Power BI datasets, improve data quality and governance, monitor production pipelines, mentor junior engineers, and collaborate with architects, analysts, and stakeholders to modernize the enterprise data platform for analytics and AI.

Build and maintain ETL/ELT pipelines, SQL databases, and data models to support reporting and BI. Work with Azure data services, Python automation, Power BI, and data integration; monitor data quality, troubleshoot production issues, document solutions, and collaborate with business users on reporting requirements.

Provide data analysis and executive-level reporting to support strategic and operational decision-making. Collect, clean, analyze data from multiple sources, build dashboards and KPIs, recommend process and program improvements, and support program planning, execution, monitoring, and adoption of data-driven practices.

Designs, develops, and supports data warehouse applications, ETL workflows, complex SQL queries, reports, and dashboards. Performs data modeling, mining, and analytics, collaborates with business and technical teams, and provides end-user training and project support to deliver scalable reporting and BI solutions.

Senior technical data analyst who develops and deploys analytics, builds advanced reports and visualizations, communicates insights to senior leaders, mentors junior analysts, and applies product/project management practices to align analytic projects with clinical and operational goals.

Design, build, and maintain scalable end-to-end data pipelines and enterprise data platform components (Snowflake/Python/dbt). Lead architecture, mentor engineers, implement CI/CD, automated testing, and collaborate with stakeholders to deliver healthcare-focused data solutions (payer claims, attribution).

Provide specialist advice and training on bibliometrics, altmetrics and research evaluation. Produce high-quality reports and recommendations, build relationships with researchers and stakeholders, deliver capability-building activities, and contribute to team planning and library goals to maximise research visibility and impact.

The Market Access Analytics Manager develops reports and dashboards utilizing Real-World Evidence for market access, managing end-to-end projects from strategy through analysis and presentation.

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.