Top Healthtech Data & Analytics Jobs

Leads marketing measurement and analytics strategy, including Marketing Mix Modeling, Multi-Touch Attribution, experimentation, dashboards, forecasting, and campaign optimization. Manages 8–12 data scientists and analysts, partners with marketing and finance leaders, oversees analytics capabilities and budgets, and presents data-driven recommendations to senior executives.

Own the architecture and operation of 9amHealth’s data platform, including Python and SQL ETL/ELT pipelines, AWS infrastructure, Redshift data models, semantic layers, governance, quality, monitoring, and reliability. Establish technical standards, optimize performance and costs, support AI/ML initiatives, build integrations, and mentor data team members. Partner with business and clinical stakeholders to deliver reliable data products and translate complex questions into actionable analytics.

Design and architect scalable healthcare data systems, core data models, and production data pipelines. Integrate and normalize healthcare data using TUVA, OMOP, and FHIR standards; establish data quality and governance; optimize performance; deploy secure cloud infrastructure; ensure regulatory compliance; and build bi-directional EMR integrations. The role also requires independent technical decision-making, test automation, CI/CD, and DevOps practices in a fast-paced healthcare technology startup.

Leads business analysis and data governance initiatives, including requirements elicitation, risk analysis, conceptual data modeling, business glossary and information catalogue development, stakeholder workshops, and data architecture support. Prepares business cases and governance documentation, manages changes to data artefacts, and supervises a Data Governance Officer. Requires strong analytical, communication, stakeholder management, and enterprise architecture capabilities.

Build and scale secure data lakehouse and warehouse infrastructure supporting analytics, machine learning, clinical AI performance monitoring, and self-service insights. Develop scalable data pipelines, models, orchestration, quality controls, and LLM-enabled analytics tools using heterogeneous clinical and EHR data. Collaborate with engineering, data science, clinical, product, and client success teams to establish trustworthy metrics and technical solutions.

Build and operate production data pipelines from clinical, operational, billing, and product systems into trusted warehouse datasets. Responsibilities include ingestion with dlt and Prefect, data modeling in dbt, AI training and evaluation datasets, pipeline testing and monitoring, lineage and alerting, schema changes, backfills, and secure handling of PHI through access controls, de-identification, and audit trails.

Owns Kestra’s enterprise data platform, Microsoft Fabric transition, data architecture, governance standards, and Master Data Management program. Leads platform reliability, semantic models, self-service BI enablement, data protection, compliance, vendor resources, and technical teams. Advises executives and functional data owners while preparing governed data assets for AI, automation, and enterprise reporting.

The Media Analytics Manager analyzes Amazon Media data, develops audience and performance insights, and recommends media optimizations supporting brand strategy and marketing KPIs. Responsibilities include championing Amazon Marketing Cloud adoption, synthesizing paid and organic media trends, evaluating media tests, monitoring competitive and retail activity, and translating analyses into actionable recommendations. The role also supports cross-functional program management with internal teams, Amazon, and agency partners.

Develops, validates, documents, deploys, and maintains Amazon QuickSight dashboards in a secure CMS environment. Translates stakeholder requirements into interactive visualizations, performs SQL-based ETL and data-quality validation, supports Tableau analytics, manages UAT and dashboard lifecycles, troubleshoots technical issues, and documents data workflows. The role collaborates with analysts, data scientists, CMS stakeholders, QIO staff, and other teams while supporting healthcare and regulated data initiatives.

Transforms, validates, and migrates data between systems during upgrades, integrations, and organizational transitions. The role uses SQL, ETL processes, relational databases, Excel, and healthcare data formats to ensure accuracy, consistency, and integrity. Responsibilities include analyzing complex datasets, identifying inconsistencies, documenting conversion activities, and collaborating with cross-functional teams. Preferred experience includes enterprise systems, cloud platforms, data governance, and system implementation projects.