Top Healthtech Data & Analytics Jobs

Lead product experimentation and analytics across three product squads. Design experiments, define product metrics, analyze patient and clinician behavior, build dashboards, apply causal inference, and communicate actionable insights. Partner with product, engineering, design, clinical, operations, and data teams to improve instrumentation, data quality, and evidence-based healthcare product decisions.

Lead business intelligence strategy across product, clinical, commercial, finance, and engineering teams. Build measurement frameworks, semantic layers, reporting solutions, and visualizations that demonstrate business value and support data-informed decisions. Own the data lifecycle from ideation through client-facing delivery, ensure data governance and integrity, and translate complex datasets into actionable insights. Collaborate on scalable data architecture and apply statistical methods, advanced analytics, and emerging AI-driven BI capabilities.

Own the analytics roadmap, data platform, semantic models, customer-facing analytics, and AI-native analytics agents. Partner with cross-functional leaders to establish trusted metrics, improve operational and patient-access insights, and deliver data products that drive measurable outcomes. Strengthen dbt and Snowflake foundations, create governed self-service workflows, and provide technical mentorship as the analytics function grows.

Leads advanced business analytics across Commercial, Finance, and Operations. Builds scalable solutions using SQL, Python, Snowflake, Tableau, and Power BI; performs forecasting, statistical analysis, segmentation, predictive modeling, and exploratory analysis. Develops semantic models, KPI frameworks, data governance practices, and reusable datasets while improving data quality and pipelines. Partners with leadership and technical teams to translate complex data into actionable insights, automate decision support, and influence strategic business outcomes.

The Business Analyst gathers and documents business and functional requirements, analyzes workflows, creates user stories and process diagrams, and translates stakeholder needs into buildable solutions. The role partners with Product, Engineering, QA, clients, and leadership throughout the product lifecycle, supporting backlog refinement, UAT, implementations, training, and feature rollouts. The analyst also identifies process gaps, risks, dependencies, and automation opportunities while maintaining accurate product and workflow documentation.

Analyze client performance, KPIs, utilization trends, and operational benchmarks using large healthcare datasets. Build reporting views, dashboards, reusable queries, models, and notebooks for Client Success and Operations. Conduct cohort, benchmarking, root-cause, and network opportunity analyses, then translate findings into clear narratives for executives and clients. Partner with analytics leadership to improve analytical standards, documentation, and reusable frameworks.

Analyzes digital product and healthcare data to define metrics, build dashboards and visualizations, assess ROI and business impact, ensure data quality, and communicate actionable insights to senior stakeholders. Collaborates with Digital, Data, and business teams while working with Epic and non-Epic datasets, SQL, Power BI, Excel, and Agile/Scrum processes.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Own the architecture, roadmap, and operation of Clarium’s AWS-based data platform. Build reliable batch and near-real-time pipelines, model healthcare supply chain data, optimize Postgres and Snowflake performance, and establish standards for testing, deployment, quality, and governance. Partner cross-functionally to create durable data models, lead multi-quarter initiatives, manage sensitive data controls, and mentor engineers.

Lead workforce analytics and planning for Neko Health’s US expansion. Build labor forecasts, staffing models, dashboards, and scheduling tools from scratch; analyze productivity, utilization, labor costs, absenteeism, overtime, and coverage. Apply AI and machine-learning methods to improve shift design, forecasting, and workforce efficiency. Partner with HR, Operations, and Medical Operations while supporting rota scheduling and shift coverage across multi-site clinics.