Top Healthtech Data & Analytics Jobs

Build and maintain Workday reports, dashboards, discovery boards, and workforce data solutions. Translate HR and business needs into actionable insights, consult with HR stakeholders, analyze workforce trends, troubleshoot reporting issues, maintain data accuracy, and promote self-service reporting. Partner with HR Technology on reporting standards, security considerations, dashboard adoption, and continuous improvement.

Owns global governance, tracking, and visibility of MAKE performance metrics and KPIs across regions and sites. The role identifies performance gaps, supports improvement planning and leadership reviews, and ensures measurement aligns with KOE standards. It also serves as business owner for KOE digital tools, defining requirements and partnering with SmartOPS and technology teams to deliver effective digital solutions.

Designs and governs PANTHERx’s semantic layer on Databricks, including Unity Catalog metric views, Gold-layer tables, promotion logic, and reusable data products. Establishes canonical, versioned business metrics for BI, analytics, partner feeds, and AI inputs. Responsibilities include data modeling, migration, validation, observability, documentation, governance, stakeholder collaboration, and mentoring analytics engineers. The role requires advanced SQL, Python, and PySpark skills, strong Databricks expertise, and experience operating across analytics engineering and data engineering.

Leads the Analytics Engineering function, owning Databricks semantic layers, Unity Catalog metric views, Gold-layer data marts, Silver-to-Gold promotion logic, and reusable data products. Establishes governance, documentation, architecture, and quality standards while partnering with Data Engineering, BI, Governance, Informatics, and QA. Builds and develops the analytics engineering team, ensuring consistent business metrics across dashboards, partner feeds, internal analytics, and AI model inputs.

Builds, operates, and owns enterprise data warehouse pipelines and models on Databricks. Develops Delta Lake batch and streaming pipelines across Bronze, Silver, and Gold layers; implements data quality, reconciliation, observability, governance, and performance improvements. The role owns assigned data domains, supports event-driven ingestion, documents architecture and runbooks, responds to incidents, collaborates with QA and governance teams, and mentors data engineers.

Build PFA’s data organization and own its data platform, architecture, pipelines, integrations, schemas, and data-quality processes. Develop predictive analytics, AI-enabled workflows, reporting layers, dashboards, and executive insights from fragmented healthcare data. Establish engineering standards involving Python, SQL, Git, testing, and maintainable software design. Partner with product, engineering, and business leaders to address data gaps and translate strategic needs into scalable technical solutions.

Analyze large healthcare datasets, build and implement quantitative models, perform statistical analyses, ensure data accuracy, collaborate with cross-functional teams, and provide actionable insights to improve healthcare delivery.

Identifies and resolves donor data discrepancies and duplicate records, contacts donors and third parties, updates donor and patient records, applies or removes deferrals, coordinates daily workflow, and supports compliance and quality improvement. The role requires accurate, timely data processing, strong organization, communication, customer service, and intermediate Microsoft Office skills in an on-site environment.

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.

Designs, builds, and manages cloud-based data systems, including pipelines, data lakes, warehouses, lakehouses, databases, and ETL processes. Develops optimized Python and SQL queries, improves workflow performance, and supports data movement between on-premises and cloud environments. Collaborates with leadership, analysts, research teams, and other departments to define requirements and reporting needs. Applies data governance, access controls, security, compliance, troubleshooting, and system support practices.

Leads global insights excellence by standardizing methodologies, governing KPI frameworks, creating common insight languages, and establishing scalable governance and ways of working. Partners with senior stakeholders across markets, builds organizational capability, drives adoption, and leads transformation to embed trusted insights in decision-making.

Acts as a technical concierge for divisional analytics teams by defining and executing data strategies, coordinating data asset development and delivery, and serving as the escalation point for business stakeholders. The role requires broad knowledge of data platforms, cloud technologies, integration, mobile and web technologies, scripting, service-oriented architecture, requirements management, Agile development, and system performance.