Top Healthtech Data & Analytics Jobs

Design, build, and maintain scalable data pipelines and data warehouse solutions on Azure. Perform source data analysis, profiling, ETL development with PySpark, support migrations from on-prem to cloud, troubleshoot production issues, collaborate in Agile teams, and contribute to ML/Generative AI initiatives and Power Apps development.

Design, build, and maintain Databricks-based data pipelines, automated file ingestion, and curated datasets. Ensure data quality, CI/CD deployment, monitoring, and performance optimization. Collaborate with engineers, analysts, and stakeholders to enable reliable downstream reporting and analytics (e.g., Power BI).

Lead design, development, and maintenance of complex Alteryx/Snowflake workflows and campaign data solutions for Medicaid programs. Serve as technical lead translating business needs into architecture, build SQL queries, manage reporting/BI, ensure data quality and automation, liaise with IT, support production environments, and mentor staff on best practices.

The Senior Business Analyst will partner with performance marketers to analyze campaign performance, optimize media investment, and derive actionable insights from complex data to inform growth strategies.

Partner with Platform Engineering to measure business impact of platform/security changes, design experiments, analyze sign-in/purchase funnels, perform cost and infrastructure analytics, build dashboards, and provide strategic analytical partnership to balance security and member experience.

Lead pricing programs by analyzing large transactional datasets, designing and measuring pricing tests, partnering with engineering and data science to build automation, and translating insights into scalable pricing processes that improve price perception, margins, and customer trust.

Lead a team of analysts to drive business insights through experimentation and analysis, translating complex data into actionable narratives for executives.

Provide data advisory services to client teams, maintaining expertise in healthcare data, managing data partnerships, and supporting data strategy projects.

The Quantitative Methodologist will design statistically rigorous studies, apply advanced analytics, interpret results, ensure quality, and communicate insights to clients.

As a Decision Analytics Associate Consultant, you will develop statistical models, apply analytic techniques, and communicate results to clients. You will also design custom analyses and guide team projects while mentoring Associates and maintaining client relationships.

Assess and validate payer-submitted and processed claims data for completeness, accuracy, and documentation. Run SQL queries, support QA, identify best practices, develop data management/analytics capabilities, and communicate findings to stakeholders while collaborating with the Data Quality team.

This role drives data-driven decision-making in product analytics, collaborating with cross-functional teams to generate actionable insights and evaluate new launches to enhance platform growth.

Investigate customer data questions using SQL, identify root causes across data sources, communicate findings, write engineering tickets, and improve data quality and platform reliability while developing Python, Git, and software engineering skills to transition into a Junior Software Engineer role.

Design, implement, and validate data mapping, transformation, and integration solutions for payment integrity. Investigate and resolve complex data quality issues, create mapping specs and documentation, partner with stakeholders, and mentor analysts to improve data quality and automation.

Lead architecture and evolution of Headway's data platform (warehouse, ingestion, orchestration, CI/CD, monitoring, cloud infra). Serve as technical anchor across analytics, product, and ML teams, drive platform roadmaps, set standards, mentor engineers, and own end-to-end infrastructure decisions for scale and performance.