Top Healthtech Data & Analytics Jobs

Lead strategic analytics for a programmatic advertising business by delivering executive recommendations, scalable Tableau or Power BI dashboards, behavioral analysis, LTV and retention modeling, A/B testing, and automated AI-driven insights. Manage and mentor analysts, improve data schemas and integrity with engineering teams, and translate complex data into actionable business narratives and revenue strategies.

As a Senior Data Analyst, you will analyze complex data, mentor junior analysts, develop AI-based tools, and ensure data integrity while collaborating with cross-functional teams to drive insights and strategic decisions.

Leads Madrigal’s commercial data operations, including source integration, data quality, master data management, data products, business intelligence, governance, and architecture. Establishes reliable data supply chains, monitoring, compliance, and self-service analytics capabilities. Builds and develops multidisciplinary data teams, manages vendors, partners with IT and business stakeholders, and drives the roadmap for automation, modernization, and AI-enabled data operations across the commercial organization.

Performs complex data analysis, reporting, dashboard development, visualization, data validation, and statistical interpretation for healthcare association stakeholders. Queries and structures data for Tableau, recommends Snowflake enhancements, researches healthcare trends, and supports data collection and integrity processes. The role also trains users, provides technical support, reviews projects, advises analysts, communicates insights, and maintains dashboard systems.

Own commercial and growth analytics for GeneDx’s top line, answering questions about volume, revenue, pricing, coverage, field capacity, and product performance. Serve as a senior advisor to commercial and product leaders, structure ambiguous problems, lead analyses end to end using AI agents, communicate executive-ready insights, support evidence-based decisions, monitor outcomes, and surface emerging opportunities. Maintain analytical governance, apply measurement and experimental design, and contribute reusable methods to the analytics function.

Supports business decision-making through data analysis, data engineering, reporting, and process automation. Builds and maintains data pipelines, Power BI dashboards, reporting solutions, and business intelligence tools. Validates and transforms data, analyzes production, sales, pricing, quoting, and financial information, and provides actionable insights to stakeholders. The intern owns analytics projects from concept through implementation while collaborating with engineering, quality, product, and other business teams.

Analyze patient cycle times from consultation through treatment start for comparable prostate cancer cases across two first-quarter periods. Review patient charts, record key dates, calculate working-day intervals, compare average cycle times, and provide findings and recommendations. Interns must submit enrollment documentation, academic records, schedules, and a final Microsoft PowerPoint presentation summarizing their work and learning.

Deliver strategic reporting and insights to executives and the Board; develop and track KPIs; build dashboards and visuals; perform ad hoc and project-based analyses; support forecasting, financial modeling, and data stewardship across the organization.

Leads enterprise data architecture, systems integration, governance, reporting, and analytics modernization. Designs relational databases, automated imports, ETL processes, validation routines, Power BI models, and data standards. Supervises data staff, supports compliance and executive reporting, manages documentation and data security, partners with IT and external vendors, and improves interoperability, reliability, and operational visibility across enterprise systems.

Designs and maintains CORE’s enterprise analytics data platform, including dimensional data warehouses, ETL/ELT pipelines, semantic models, and governed datasets. Integrates clinical, financial, workforce, donor, and operational data while ensuring platform security, reliability, performance, quality, lineage, documentation, and monitoring. Supports Power BI, advanced analytics, and responsible AI initiatives, collaborates with technical and business stakeholders, and translates requirements into sustainable production solutions.