Data & Product Analytics Engineer

Essen Medical Associates
1d

About The Position

ecares health is being rebuilt into a next-generation care coordination and digital operations platform for Essen Healthcare and future external clients. Data is at the center of this transformation. We are seeking a Principal Data & Product Analytics Engineer who can turn complex healthcare data into actionable insight, product intelligence, and operational optimization. This role bridges data engineering, product analytics, and healthcare operations to help design smarter workflows, improve patient scheduling, and drive better health outcomes. This is not a reporting or dashboard role. This is a build-and-experiment role focused on creating data-driven products, testing hypotheses, and designing how data flows through the platform.

Requirements

  • 3–7+ years of experience in: Data engineering Analytics engineering Healthcare or SaaS data platforms
  • Strong SQL and data modeling skills
  • Experience with: ETL pipelines APIs Cloud data platforms
  • Experience working with product and engineering teams
  • Ability to think in terms of: User behavior Workflow efficiency Product impact
  • Comfort working in ambiguous, startup-style environments
  • Interest in healthcare operations and patient experience

Nice To Haves

  • Healthcare data, EHR, or population health experience is a strong plus.

Responsibilities

  • Manage the data layer and intelligence layer of ecares, including: Patient, provider, scheduling, and care coordination data
  • Operational performance metrics
  • Product analytics for new features
  • Predictive models for access, utilization, and outcomes
  • Data pipelines and experimentation frameworks
  • How patients are scheduled
  • How providers are utilized
  • How care teams coordinate
  • How product features are designed
  • Build and manage data pipelines connecting: eClinicalWorks (eCW) ecares health Operational systems
  • Design data models that reflect real healthcare workflows
  • Create prototypes, simulations, and experiments to test: Scheduling efficiency No-show reduction Care coordination outcomes
  • Partner with: Product owners Software engineers Operations and clinical leaders
  • Define and track KPIs that matter in healthcare: Access Throughput Outcomes Utilization
  • Help decide what features should be built based on data
  • Design analytics that are embedded directly into the product
  • Operate as both a data engineer and a product & operations consultant.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

101-250 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service