Top Healthtech Data & Analytics Jobs

Owns the strategic direction, prioritization, and governance of an enterprise data domain. Coordinates Data Stewards, Data Custodians, business leaders, and enterprise data product teams to improve data quality, accessibility, compliance, alignment, and adoption. Leads domain working groups, prioritizes data issues and products, aligns cross-domain initiatives, translates business needs into data specifications, and escalates conflicts when necessary.

The Associate Director will lead AHP’s analytics and data products domain, building curated datasets, transformation pipelines, semantic models, dashboards, and automated reporting. Responsibilities include delivering client and enterprise data products, establishing reporting standards, managing production refreshes and documentation, coordinating data engineering resources, and supporting AI initiatives. The role is hands-on, client-facing, and requires technical leadership across distributed project teams.

Designs and maintains enterprise healthcare EDI data pipelines for HIPAA X12 transactions, Medicaid encounters, and CMS compliance. Builds ETL/ELT workflows using Databricks, PySpark, Delta Lake, and SQL Server; develops validation, reconciliation, monitoring, and alerting frameworks; troubleshoots clearinghouse integrations; supports regulatory updates and encounter submissions; and collaborates with claims, compliance, security, product, and external healthcare teams.

Supports R&D, packaging, processing, commercialization, and design reporting. Gathers and analyzes data to identify trends, develops dashboards and reporting solutions, trains end users, and provides business insights and process recommendations. Serves as a liaison between IT and the R&D team while improving reporting and decision-making effectiveness.

Build and maintain dbt and semantic data models in Snowflake, develop ingestion and transformation pipelines, define trusted product metrics, and improve data collection. Partner with Product and Engineering to support experimentation and feature analysis. Establish data quality testing, documentation, HIPAA-aware access controls, and compliance practices. Use and validate AI-generated code and Snowflake Cortex outputs while raising technical standards across the team.

Supports the Irix technology platform as a technical subject matter expert, implementing and testing client rule configurations, performing regression and impact testing, conducting simulation studies, preparing reports, managing documentation, and deploying cloud and on-premises systems. The role also involves client communication, peer review, user acceptance testing, and analysis of sensitive healthcare data.

The Senior Applications Analyst oversees Business Needs Assessments for Oracle Cloud ERP, optimizing applications and translating business requirements into system designs. Responsibilities include leading documentation, managing the application lifecycle, and collaborating with technical teams to ensure functionality and data integrity.

Analyze paid media, CRM, organic demand, conversion funnels, and service-line performance for Aspen Dental. The role synthesizes data, evaluates marketing incrementality, measures experiments, develops ROAS and diminishing-return frameworks, supports forecasting, and recommends channel and market investment decisions. The analyst partners with marketing, media, finance, technology, call center, and other teams to embed analytics into daily decision-making.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Leads performance management and analytics for a multi-country global health award covering more than 170 milestones. Designs milestone tracking systems, dashboards, forecasts, reporting protocols, and early-warning processes; analyzes performance risks and coordinates corrective actions across global, country, technical, MEL, finance, and program teams. Translates complex data into actionable insights for leadership, supports adaptive management, and promotes continuous performance improvement.