Top Healthtech Data & Analytics Jobs

Leads commercial analytics strategy and client storytelling for pharma and agency partners. Translates campaign measurement, media mix, healthcare datasets, and cross-brand trends into actionable recommendations that support sales, renewals, product positioning, and client outcomes. Serves as a senior thought partner and public-facing industry voice, presenting data-driven insights to executive stakeholders and conferences while collaborating with Sales, Marketing, Product, and Campaign Measurement teams.

Build and operate scalable data pipelines, models, curated datasets, dashboards, and recurring reports for Pharmacy Operations. Translate business requirements into governed analytics solutions, perform deep-dive analysis and root-cause investigations, document metrics and metadata, and promote data quality and best practices. Partner with technical and operational stakeholders while mentoring analysts and supporting standards for modeling, visualization, testing, and maintainability.

Leads technical delivery of Master Data Management solutions using Informatica MDM and PowerCenter. Designs and implements ETL mappings, workflows, transformations, data quality processes, governance practices, SQL data marts, and Python automation. Oversees MDM specialists, monitors production jobs, troubleshoots operational issues, supports testing and validation, tunes performance, documents technical solutions, and collaborates with state agencies, QA, business teams, and project leadership.

Leads healthcare analytics projects using clinical, claims, pharmacy, and eligibility data to evaluate cost, utilization, quality, and program performance. Develops statistical analyses, predictive models, dashboards, and reporting solutions; identifies optimization opportunities; partners with clinical, product, engineering, and business teams; presents recommendations to stakeholders; and mentors junior analysts.

Owns the full lifecycle of business intelligence solutions, including requirements gathering, dashboard and report development, data modeling, visualization, governance, and production delivery. Partners with business, laboratory, engineering, and product stakeholders to perform root-cause analyses, develop datasets, support self-service analytics, and guide system changes. Requires advanced SQL, BI tool expertise, stakeholder management, and experience with agentic workflows.

Leads WHOOP’s data governance function, defining strategy, operating models, ownership, data contracts, event taxonomy, cataloging, access policies, quality standards, and privacy compliance. Builds and coaches a senior team while partnering across engineering, analytics, product, legal, GRC, and InfoSec. Establishes governance frameworks, automated quality monitoring, access controls, compliance practices, and metrics, while embedding standards into technical workflows and advancing AI-powered governance.

Build, optimize, and maintain scalable data pipelines and reusable datasets for business intelligence, marketing, and data science. Develop federated data validation frameworks, optimize queries and data models, and protect user privacy and security. The role uses Python, SQL, AWS, Airflow, PostgreSQL, Iceberg, Snowflake, Spark, and other modern data-stack technologies. It is based in New York City with in-office work three days per week.

Develop and optimize advanced SQL transformations, stored procedures, ETL workflows, and data-quality processes for large Medicaid claims and health-related social needs datasets. Build reproducible, documented data pipelines; calculate healthcare quality, equity, and disparity metrics; conduct code reviews; and collaborate with stakeholders to turn complex data into visualizations and policy insights.

Leads analytics for enterprise AI platform adoption, establishing engagement baselines, behavioral metrics, activation funnels, retention cohorts, dashboards, and value-realization measures. Diagnoses adoption barriers, translates telemetry and qualitative feedback into recommendations, and partners with learning, community, communications, product, and experience teams. Sets KPI targets, measures sustained behavior and ROI, enables stakeholders to interpret insights, and informs targeted re-engagement campaigns and executive reporting.

Owns enterprise data architecture, modeling standards, platform integration, governance, quality, security, and reusable architecture patterns. Partners with executives, engineering, analytics, security, and governance teams to modernize lakehouse, data mesh, streaming, and data product ecosystems. Leads proofs of concept, architecture reviews, platform recommendations, and AI/ML data enablement while mentoring architects and engineers.