Top Healthtech Data & Analytics Jobs

Supports member experience initiatives across contact centers, care navigation, and engagement through reporting, data analysis, systems evaluation, requirements documentation, workflow design, and process improvement. The role develops actionable reports, defines project requirements, monitors implementation progress, estimates resources and costs, recommends operational controls, and coordinates stakeholders. It requires healthcare or health-plan experience, project management expertise, strong Microsoft Office proficiency, and analytical communication skills.

The Data Services Intern will support data modeling, pipeline monitoring, requirements gathering, dashboard development, documentation, and data quality validation. They will work with SQL, dbt, Snowflake, BI tools, ETL technologies, and AI-assisted development tools while collaborating with engineers and stakeholders. The role offers mentorship and hands-on experience building healthcare data solutions that support clinical interventions and patient outcomes.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, adoption, and delivery. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to create scalable Power BI and Snowflake capabilities, including AI-assisted analytics. Manages and develops the BI team, prioritizes demand, measures business value, and guides technical design while supporting trusted decision-making across the organization.

Leads enterprise business intelligence strategy, roadmap, product delivery, semantic modeling, governance, adoption, and AI-assisted analytics. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to deliver scalable Power BI and Snowflake capabilities. Manages BI demand, stakeholder relationships, technical standards, team development, and business-value measurement while remaining hands-on in solution design and troubleshooting.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, delivery standards, and AI-enabled analytics. Oversees Power BI capabilities, partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT, and manages BI demand, adoption, performance, and business value. The role leads and develops the BI team, guides technical design, translates business needs into scalable products, and supports self-service and personalized insights.

Leads enterprise business intelligence strategy, product roadmap, semantic modeling, governance, adoption, and delivery. Partners with Data Engineering, Data Governance, Data Science, AI Solutions, and IT to develop scalable Power BI and Snowflake capabilities, including self-service analytics and AI-assisted insights. Manages BI demand prioritization, stakeholder relationships, performance standards, and team development while remaining technically involved in solution design and troubleshooting.

Develop statistical workforce forecasts for Medicaid, federal policy, service demand, and contact center performance. Analyze historical trends, seasonality, utilization, and legislation to improve accuracy. Partner with operations, clients, and workforce teams to align staffing plans, monitor forecast errors, and optimize service levels. Build dashboards and prepare actionable reports and recommendations for management.

Supports client implementations by designing and troubleshooting data integrations across clients, vendors, banks, and health plans. Uses SQL, APIs, ETL frameworks, relational models, and data validation practices to maintain integrity and compliance. Leads automation, client conversion, integration, and process-improvement projects; coordinates agile delivery phases, requirements, documentation, and deployment. Provides technical consulting, mentors analysts and associates, and partners with architects, product owners, engineers, and client operations teams.

Analyzes pharmacy claims, audit risks, datasets, and financial impacts to validate contractual compliance and improve reporting. Develops SQL and Python queries, dashboards, reconciliations, and automation workflows while documenting methodologies and collaborating with technical and business teams to enhance data quality, controls, and operational efficiency.

Designs, develops, and maintains Power BI dashboards, reports, visualizations, and data models. Translates stakeholder requirements into technical solutions, integrates diverse data sources, optimizes queries and report performance, ensures data accuracy and access controls, and uses AI tools such as ChatGPT to improve development efficiency. The role also documents solutions, trains users, supports data governance and analytics best practices, and communicates insights clearly to technical and non-technical stakeholders.