Top Healthtech Data & Analytics Jobs in Chicago, IL

Work with internal and client teams to design and implement data-driven technology solutions. Apply SQL, Python, and data platform knowledge to process structured/unstructured data, build BI and engineering artifacts, communicate findings to stakeholders, and adapt to new tools and architectures while supporting client-facing delivery.

Develop and apply advanced statistical models, design custom analyses (Python/R/Tableau/SAS/Excel), synthesize and present results to clients, manage client relationships, create deliverables, and mentor junior team members.

The consultant will analyze healthplan performance data, providing insights and recommendations, and serve as a subject matter expert in healthcare analytics.

The Senior Analyst in Data Operations will manage data workflows, ensure data quality, and support molecular data-related projects in the healthcare industry, leveraging SQL and analytical skills.

The Platform Engineer, ClickHouse administers and secures ClickHouse clusters, manages Kafka ingestion, integrates with AWS, and ensures CI/CD practices. Responsibilities include schema management, access control, and cluster health monitoring.

The Analyst will implement Axiom software, facilitate client integration, utilize SQL and Excel for problem-solving, lead training, and enhance operational processes.

As a Healthcare Analyst II, you will analyze healthcare data to optimize strategies, conduct quantitative analysis, and provide insights for clinical interventions, partnering with cross-functional teams.

The Sr. Analytics Engineering Manager will lead analytics engineering, managing a team to build ELT pipelines and data models for actionable insights in mental healthcare.

The Senior Portfolio Lead will oversee data management services for clients, ensuring quality deliverables, strategic oversight, and optimal clinical data flows, while leading cross-functional teams and managing complex client relationships.

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

The Lead Data Analyst will define KPIs, analyze data trends, build dashboards, and support new product launches, requiring strong SQL and Python skills.