Top Healthtech Data & Analytics Jobs

Leads Data Operations, including reporting, dashboards, data warehouse and dbt model oversight, data quality, governance, service levels, incident response, and stakeholder prioritization. Manages and develops data professionals while partnering with Data Engineering, Security, Privacy, Compliance, and Enterprise Architecture. Ensures reliable, secure, well-documented data services and protects PHI through appropriate access, privacy, lineage, retention, and monitoring controls.

Leads business intelligence consulting and analytics for external clients. Designs scalable dashboards, reports, visualizations, automated reporting solutions, and data processes using disparate datasets. Identifies trends, resolves complex data issues, and delivers actionable recommendations through executive presentations. Manages client relationships, documentation, reporting support, and analytics governance while mentoring junior employees.

Analyzes website, mobile application, and digital marketing performance to identify growth opportunities. Uses analytics platforms, dashboards, KPIs, SEO analysis, advertising metrics, and A/B testing to evaluate acquisition, engagement, retention, conversion, and user experience. Develops actionable recommendations, supports digital campaign optimization, and collaborates with marketing and internal stakeholders to implement and measure improvements.

Leads strategy, governance, quality, analytics, and research use of a dermatology clinical registry. Directs teams conducting HEOR, RWE, advanced statistical analyses, machine learning, data linkages, reporting, and data releases. Oversees HIPAA-compliant data operations, de-identification, stakeholder access, vendor relationships, dashboards, and registry-derived products. Translates findings into clinical, quality, policy, research, and strategic insights while collaborating with physicians, specialty stakeholders, and cross-functional teams.

Supports healthcare survey data operations through data collection, validation, quality review, file preparation, issue resolution, and documentation. Reviews data for completeness, consistency, outliers, and accuracy; communicates with respondents to clarify information; supports reports, statistical tables, custom analyses, and cross-functional data needs. Requires strong Excel skills, attention to detail, communication, and the ability to work with survey data and databases. The role is hybrid with on-site work in Englewood, Colorado and regular conference travel.

Leads enterprise information architecture strategy, governance, taxonomies, ontologies, metadata frameworks, and semantic models across regulated global processes. Advises senior business and IT stakeholders, oversees transformational initiatives, establishes architecture standards and communities of practice, and ensures information is compliant, scalable, interoperable, and AI-ready. Manages or influences data governance and analytics capabilities while supporting process standardization, business continuity, and digital transformation.

Architects, engineers, and optimizes full-stack business intelligence products from raw data through finished analytics applications. Builds ETL and data transformations, develops Tableau and Power BI solutions, writes and optimizes advanced SQL, designs frontend visualization experiences, and applies CI/CD and version control practices. Independently manages complex data products, translates business needs into technical solutions, and defines analytics engineering strategy.

Manages data operations for approximately 25 perinatal clinical research studies. Responsibilities include designing research databases, maintaining data dictionaries and documentation, extracting and cleaning complex datasets, developing dashboards and monitoring systems, conducting analyses, ensuring data quality and regulatory compliance, supporting reporting and publications, training research staff, and improving EHR, AI, and data-management workflows.

Designs, develops, and maintains scalable ETL/ELT pipelines, data warehouses, data models, and Lakehouse architectures. Ensures data quality, security, governance, and compliance across data systems. Collaborates with technical and business stakeholders, leads data engineering projects, automates operational processes, and evaluates cloud and on-premise data technologies. Provides technical leadership, mentoring, code reviews, troubleshooting, and performance optimization for enterprise data platforms.

Builds, tests, implements, documents, and supports business intelligence solutions, including reports, dashboards, semantic layers, metadata, stored procedures, and database services. Partners with healthcare operational and business leaders to translate data into actionable insights, answer business questions, support KPI-driven decisions, enable analytics-tool adoption, troubleshoot BI systems, tune performance, and provide occasional on-call support.