Top Healthtech Data & Analytics Jobs

Build and operate data platform services, APIs, SDKs, schemas, validation tools, event-driven pipelines, and reverse ETL workflows. Improve Kafka-based data delivery, schema evolution, observability, lineage, access controls, privacy, and compliance. Partner with engineering, analytics, data science, security, and infrastructure teams to create reliable, self-service data workflows. Operate AWS services, infrastructure as code, monitoring, alerting, and incident response.

Leads enterprise data management and engineering for Pfizer Global Supply and Enterprise Solutions. Owns data pipelines, integrations, DataOps, data quality, lineage, observability, and trusted data product certification across manufacturing, quality, supply chain, and ERP systems. Ensures GxP compliance and data integrity while managing distributed teams, contractors, vendors, operational performance, and senior stakeholder alignment.

Build and maintain Databricks data pipelines using SparkSQL and PySpark, integrating payer, provider, claims, platform, and API data. Develop transformations, models, file exchanges, dashboards, automated workflows, tests, and data-quality validations. Collaborate in design and code reviews, use AI coding tools responsibly, and protect PHI through governance, access controls, and audit logging.

Own commercial analytics for direct-to-consumer and marketplace channels, analyzing pricing, promotions, conversion funnels, merchandising, product mix, customer behavior, and channel economics. Build scalable reporting tools, support forecasting and planning, and translate transactional and behavioral data into recommendations for digital commerce leadership. Partner with Marketing Analytics and Analytics Engineering to connect acquisition trends with commercial outcomes and ensure trusted data.

Lead and develop an analytics engineering team, define the analytics roadmap, and establish scalable standards for data modeling, business intelligence, and AI-enabled analytics. Partner with leadership, Operations, Engineering, and Product to solve complex business problems, deliver actionable insights, optimize data pipelines, and build a trusted data foundation. Champion documentation, data literacy, and evidence-based decision-making across the organization.

Design, develop, test, and maintain large-scale healthcare data pipelines and AWS data warehouse solutions. Build Redshift and EMR ETL processes, monitor pipeline performance, resolve data discrepancies, support deployments, conduct code reviews, and document database designs and testing. Collaborate with engineers, analysts, consultants, and cross-functional teams to improve data quality, scalability, and processing efficiency.

Supports Cencora’s enterprise data and analytics platform modernization by collecting and analyzing datasets, creating dashboards with BI tools, tracking KPIs, conducting ad hoc analyses, documenting findings, and contributing to CI/CD and self-service solution delivery. Collaborates with cross-functional stakeholders to provide actionable insights, improve processes, and support data-driven decisions for internal and customer-facing products.

Leads quantitative and qualitative consumer research projects, brand-health tracking, audience measurement, and recurring insights programs. Analyzes surveys, behavioral metrics, syndicated data, and competitive intelligence to identify trends and business implications. Creates reports and presentations that translate findings into recommendations for marketing, brand, product, and customer experience teams. Manages survey platforms, research quality, vendors, timelines, and cross-functional stakeholder communication.

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Lead end-to-end quantitative market research, including research planning, surveys, advanced statistical analysis, synthesis, and stakeholder presentations. Build and manage brand and sentiment measurement programs, identify customer and market trends, and provide strategic recommendations for growth and product opportunities. Partner with business leaders, promote research-driven decision-making, and mentor junior researchers while scaling the organization’s research practice.