Top Healthtech Data & Analytics Jobs

Build and maintain product analytics dashboards, validate and QA event tracking, translate event data into analytics-ready datasets, run funnels/cohorts/retention analyses, support A/B testing, and surface actionable product insights to Product, Growth, and Data stakeholders.

Support PALU by building reproducible code and ETL pipelines to transform program data, develop dashboards and automated reports, design and deploy ODK/XLSForms and DHIS2 forms, monitor data quality, provide field technical assistance and training, and integrate MEL insights into program decision-making and proposals.

Implement privacy-by-design and data risk management for DOHMH datasets: assess risks, apply mitigation (including differential privacy and synthetic data), operationalize confidentiality regulations, document methods, collaborate with stewards and engineers, and translate policy requirements into technical specifications and governance monitoring.

The PLM Analyst supports Oracle Fusion Cloud PLM, ensuring compliance and seamless integration with systems like SAP S/4HANA while managing product data and documentation in a regulated medical device environment.

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

Responsible for building data models, developing ELT pipelines, implementing data quality checks, and utilizing best practices in data engineering and healthcare analytics.

Design, build, and maintain data pipelines, dashboards, and predictive models. Analyze large datasets to generate actionable insights, collaborate with stakeholders, ensure data quality and governance, and document/share analytics best practices to support Marketing, Product, Operations, and Workforce teams.

Analyze card performance and customer behavior, design and evaluate A/B tests, build dashboards and KPIs, create financial models and business cases, partner with cross-functional teams, improve data infrastructure and reporting, and deliver executive-ready insights to optimize card growth, engagement, and profitability.

Lead data quality and analytics for VA EHRM deployments by building and validating pipelines, applying SQL/R/Python and NLP/ML, defining governance rules in Purview/Collibra, certifying dashboards (Tableau/Power BI), and delivering actionable visualizations and insights to executive stakeholders.

Design, build, and maintain scalable ETL/ELT data pipelines and data platform architecture. Build programmatic pipelines (primarily Python), optimize analytical data models (SQL), integrate sources into Snowflake, use orchestration/transformation tools (dbt, Airflow, Dagster), improve data quality/observability, and partner with product, engineering, and analytics to deliver reliable data for decision-making.