Top Healthtech Data & Analytics Jobs

Analyze and optimize a two-sided healthcare marketplace through health metrics, root-cause analysis, cohort modeling, dashboards, and decision-support analytics. Partner with Demand, Supply, Operations, Product, Data Engineering, and Data Science leaders to guide capacity planning, provider onboarding, market expansion, and operational strategy. Build scalable analytics models and reporting infrastructure while translating complex data into executive recommendations.

Build and maintain healthcare data ingestion pipelines and dbt transformation models in Snowflake. Contribute to fact and dimensional modeling, semantic-layer development, data quality troubleshooting, pipeline reliability, and governed reporting. Collaborate with engineers, analysts, and stakeholders to translate requirements into technical data structures. Use AI-assisted development tools while following testing, documentation, security, SDLC, and change-management practices.

Leads Brightree's analytics product portfolio and manages analysts and analytics engineers. Defines product strategy, roadmap, metrics, and scalable customer-facing analytics solutions. Partners with customers, product management, engineering, and data teams to translate healthcare workflows and business needs into reporting, benchmarking, and decision-support capabilities. Drives team development, analytics standards, product delivery, adoption, and continuous improvement.

Designs and maintains operational data infrastructure for smart manufacturing, including pipelines, data warehouses, ETL/ELT processes, time-series data systems, integrations, governance, and trusted datasets. Uses SQL and Python to support reporting, analytics, automation, dashboards, and operational decision-making. Partners across manufacturing and enterprise systems, investigates complex data challenges, evaluates emerging technologies, and supports advanced analytics and digital transformation initiatives.

Leads the design, development, implementation, and support of business intelligence solutions, including dashboards, reports, data models, pipelines, and reporting frameworks. Translates complex business requirements into scalable data solutions, ensures data quality and HIPAA compliance, resolves technical issues, evaluates emerging technologies, and mentors team members. The role manages staff, leads projects, partners with internal and external stakeholders, and communicates technical concepts to business and executive audiences.

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.

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.

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.