Top Healthtech Data & Analytics Jobs

Design, build, and own the full data platform (ingestion, modeling, CI/CD, orchestration, observability, and BI). Implement streaming and batch pipelines for IoT data, enable governed self-service, enforce data governance/privacy/security, evolve AI access patterns, and provide technical leadership and mentorship to data engineers and data scientists to deliver production-ready analytics and ML capabilities.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Build and maintain dbt models, Snowflake semantic models, and Power BI dashboards that deliver trusted business insights. Partner with stakeholders to define metrics, answer ad hoc questions using SQL, validate data quality, document analytical assets, and improve pipeline monitoring. The role also involves investigating discrepancies, communicating findings to nontechnical audiences, and supporting self-service analytics and AI-assisted data exploration.

Performs complex risk adjustment and healthcare program analyses using statistical methods and data from multiple sources. Extracts, cleans, aggregates, and queries data; develops dashboards, reports, and presentations; evaluates programs and outcomes; identifies root causes; and recommends solutions. Partners with cross-functional stakeholders, applies healthcare and regulatory knowledge, leads projects, communicates findings to senior leaders, supports strategy and implementation, and mentors junior analysts.

Performs complex healthcare program analyses using statistical and analytical tools. Extracts, cleanses, combines, and interprets data from multiple sources; develops queries, dashboards, reports, presentations, and recommendations. Collaborates with cross-functional stakeholders to evaluate programs, identify root causes, support strategy and implementation, and address business challenges. The analyst also applies healthcare and regulatory knowledge, presents findings to leadership, coordinates solutions, and independently provides consultation on business initiatives.

Build and maintain governed, scalable data models using dbt, Snowflake, and Databricks. Translate stakeholder needs into reusable data products, support self-service analytics, uphold data quality and documentation standards, and collaborate with data and engineering teams to integrate analytics into product development.

Build and own production data pipelines, Databricks workflows, analytical datasets, dimensional models, and semantic models using Azure, SQL, Python, and PySpark. Investigate data discrepancies, implement quality monitoring, modernize legacy systems, integrate enterprise and healthcare sources, and assess downstream impacts on reporting and business processes. Partner with stakeholders, establish engineering standards, mentor technical teams, and support AI/ML initiatives.

Analyze strategic business problems using SQL, Python, statistics, data science, and AI-powered tools. Build dbt data models, Looker semantic layers, self-serve analytics, KPI monitoring, dashboards, and automated insight workflows. Partner with Product, Operations, Marketing, Finance, and Clinical Operations to identify opportunities, develop recommendations, and support strategic decisions. Build AI agent workflows that automate complex analysis and communicate actionable findings to leadership.

Leads the Supplemental Data organization supporting clinical data collection, validation, and loading for HEDIS gap closure across Medicaid, Medicare, and Marketplace programs. Manages Managers, oversees escalations and market support, improves companywide data processes, and leads cross-functional analytics initiatives. Establishes strategic department goals, manages delivery schedules and budgets, and communicates with stakeholders. Requires advanced SQL, Microsoft Access, relational database, reporting, healthcare claims, and data analysis expertise.

Manage healthcare data analysis and reporting for a health plan, including recurring and ad hoc requests, clinical and trend analysis, requirements gathering, testing, delivery, and user adoption. Coordinate cross-functional initiatives, develop reports, and mentor and train analysts. The role requires advanced SQL and Excel skills, relational database knowledge, healthcare or claims data experience, and leadership of analysts or cross-functional teams.

Provides analytical and technical support for Medicare Advantage business operations, including data retrieval and validation, reporting, peer review, research modeling, and process automation. The role supports SAS-to-Python transitions and uses platforms such as BigQuery and Databricks. Responsibilities include building spreadsheets, summarizing research, responding to business partner requests, testing models, and improving model performance. This is a remote business analytics role with an onsite final interview in Chattanooga, Tennessee.

Develops scalable analytics, dashboards, reporting, datasets, and decision-support solutions for Hub leadership. Translates ambiguous business questions into analytical approaches, KPIs, and actionable recommendations using SQL, Power BI, and Databricks. Supports data governance, stewardship, quality, definitions, documentation, and trusted data assets while partnering with Technology and business stakeholders to build future analytics capabilities.