Top Healthtech Data & Analytics Jobs

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

Lead development of the People data foundation, analytics strategy, dashboards, and AI-enabled insight products. Build scalable people datasets and predictive models across hiring, retention, performance, compensation, and org design. Partner with HRBPs and People leaders to surface signals, automate reporting with generative AI, improve data quality, governance, and privacy, and deliver clear visualizations and narratives to inform workforce decisions.

Design, maintain, and automate billing data pipelines: reconcile clinical sources, codify billing logic in BigQuery SQL, clean inputs with Python or Sheets scripting, produce version-controlled invoices, identify and fix data gaps, and document workflows while partnering with Finance, Sales, Engineering, and Product.

Analyze sales and operational data to generate reports, dashboards, and insight narratives that inform sales, marketing, product, and operations. Validate data quality, support ad-hoc analyses, document reporting logic, and recommend improvements to reporting and processes. Collaborate cross-functionally to translate complex datasets into clear, actionable recommendations.

The GTM Engineer will innovate and enhance GTM processes at EliseAI by leveraging AI and automating workflows while collaborating across various teams.

The Associate Principal will translate client needs into analytical specifications, ensure quality control of analytical outputs, and deliver clear insights while overseeing methodologies and clinical context research.

The Programmatic Analyst will support campaign pricing and audience targeting strategies, analyze performance data, and collaborate with sales and operations teams to enhance campaign effectiveness.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Data Manager will lead the Data team, manage execution across analytics and engineering, track KPIs, and ensure quality data practices while collaborating with cross-functional teams.

The Data Analyst will analyze extensive datasets to identify behavioral patterns, create analytics, and collaborate on data projects with product managers and developers.