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Forward Deployed Analytics Engineer

PublishedPublished: 6/14/2022
Technology

Job Description

Job DescriptionAbout the Role

Join a healthtech team building AI-powered tools for healthcare finance. You will translate customer financial and clinical data into reliable transformations and a shared semantic layer, helping ensure the platform's insights are accurate and trusted.

What You'll Do

  • Review customer data models and work with finance and clinical teams to understand their source-of-truth logic.
  • Turn under-documented payer contract, claims, reimbursement, and chart-of-accounts rules into durable, tested SQL transformations.
  • Map customer data into a unified ontology and semantic layer within managed data pipelines.
  • Own testing and validation to maintain a high standard of correctness.
  • Collaborate with insights and product engineering teams to extend the ontology for new customer needs and data sources.

What We're Looking For

  • At least 5 years of experience in data or analytics engineering.
  • Strong SQL skills and experience with Python, data transformation tools, and modern data pipelines.
  • Hands-on healthcare data experience in claims, reimbursement, provider revenue cycle, or health system finance, in addition to any clinical or EHR experience.
  • Experience authoring and owning SQL or dbt transformation models that encode healthcare business logic.
  • Experience designing and shipping a data pipeline or platform end to end, along with customer-facing technical work such as integrations, solutions engineering, or forward-deployed work.
  • A bachelor's degree or higher in a quantitative or business-adjacent field, or equivalent hands-on healthcare data experience.
  • Background in a fast-paced healthtech, health system, or healthcare consulting environment.
  • Authorization to work in the United States without visa sponsorship.

Compensation & Benefits

Base salary: $150,000 to $200,000 annually. Visa sponsorship is not available.

Location

On-site in New York, New York.

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