Top Healthtech Data & Analytics Jobs

Develop statistical, machine learning, and deep learning models to measure the impact of pharmaceutical HCP, DTC, and Medical Affairs campaigns. Partner with internal and external clients, provide analytical insights and methodological guidance, consult with sales and market research teams, and coach an offshore analytics team. The role requires applying causal inference, healthcare and pharmaceutical data expertise, and clear communication of findings to clients and executives.

Supports customer analytics and commercial economics by applying AI modeling, SQL, Excel, and business intelligence to identify revenue, retention, margin, bundling, cross-sell, and expansion opportunities. Extracts and validates data from disparate sources, identifies behavioral patterns, builds forecasts, and delivers actionable insights to Sales, Marketing, Product, Revenue Operations, and Lifecycle teams. The role influences commercial and go-to-market decisions across customer segments, products, and channels.

Analyzes user behavior, content metadata, engagement patterns, and topic relationships to support personalization, taxonomy, ontology, content strategy, and product decisions. Builds dashboards, identifies content gaps and behavioral trends, segments users, supports experimentation, and communicates actionable insights to product, editorial, ML, and personalization teams.

Leads business intelligence and analytics initiatives across a healthcare system. Gathers data, develops routine and ad hoc reports, creates visualizations, interprets findings, and advises executives, clinicians, and operational teams. Improves reporting processes, manages complex requests and deadlines, communicates complex information clearly, and mentors peers while supporting strategic and operational goals.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Develops and maintains scalable data models, pipelines, centralized data layers, and domain-specific data marts. The role harmonizes enterprise data, defines orchestration strategies, applies governance and quality frameworks, and uses dbt for documented and tested transformations. It partners with business stakeholders to gather requirements and deliver data products that support self-service analytics and informed decision-making. Strong communication skills are required to explain technical concepts and analytical outcomes to technical and non-technical audiences.

Leads commercial business intelligence strategy, Power BI reporting, dashboards, analytics, data governance, CRM optimization, and sales process improvement. Manages two direct reports and partners with commercial, finance, and operational leaders to improve revenue performance, forecasting accuracy, data quality, and commercial effectiveness. Oversees sales incentive compensation analytics and cross-functional system transformation initiatives. The role is fully remote with 10% overnight travel.

Leads enterprise data architecture and infrastructure strategy, designing data warehouses, data lakes, and hybrid cloud solutions. Establishes governance, security, automation, DevOps, and CI/CD practices while evaluating emerging technologies such as AI and machine learning. Partners with executives and cross-functional teams on data strategy, cloud roadmaps, resource planning, cost optimization, integrations, and troubleshooting. Serves as an organization-wide subject matter expert and mentor.

Leads a prospect development department supporting philanthropic growth through prospect research, predictive capacity modeling, portfolio optimization, due diligence, donor identification, metrics, projections, and executive business intelligence. Supervises professional teams, advises Foundation leadership, develops strategic initiatives, and directs CRM and prospect research operations within nonprofit and California regulatory environments.

Analyzes and validates complex business data, identifies trends and anomalies, develops predictive models, and creates Tableau dashboards and automated reports. The role partners with management to support business decisions, improve processes, maintain data quality, classify industry spend, and deliver actionable sales and operational insights. Advanced Excel, SQL, Tableau, SAS, and VBA skills are required, along with strong analytical, reporting, and communication abilities.

The BI Analyst partners with business and technology stakeholders to frame analytical questions, define KPIs, validate data, identify trends, and deliver actionable recommendations. The role develops dashboards, reports, visualizations, and custom extracts; investigates data quality issues; supports BI solution planning, testing, and delivery; and improves existing analytical products. It also includes stakeholder communication, user training, standards development, and guidance for team members.

Supports value-based healthcare programs through complex SQL analysis, reporting, data reconciliation, payment support, and evaluation of new program opportunities. Develops monthly and ad hoc reports using Excel and Azure Synapse Analytics, interprets complex healthcare and insurance data, and communicates findings to senior leadership. The role also supports program implementation, maintenance, process improvement, and provider relationships.