Ensemble RCM LLCHiring

Analytics Engineer

  • Remote, United States
  • Mid-level
  • Posted today
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In one line

Analytics engineering role owning the semantic layer and data models that feed dashboards and reports for a healthcare revenue company.

About the role

Data modeling work sits between data engineering and the business, with responsibility for metrics that analysts and leaders can trust. Definitions get documented and aligned across product, operations and finance.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
SQL, Dimensional modeling, Business Intelligence
Posted
29 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Build and maintain analytics ready models, including facts, dimensions and data marts
  • Write transformations in SQL based tooling within the semantic and transformation layer
  • Define metrics, business logic and calculations so dashboards and reports stay consistent
  • Apply dimensional modeling practices suited to BI and analytical use
  • Work with product, operations and finance stakeholders to turn requirements into models and metrics
  • Add data quality checks and tests at the analytics layer

What they look for

  • Three or more years in analytics engineering, analytics, business intelligence or a similar area
  • Strong SQL based transformation and dimensional modeling skills
  • Business acumen and clear communication with non technical stakeholders

How Keywordise applies for you

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a mid-level role. The posting asks for: three or more years in analytics engineering, analytics, business intelligence or a similar area; strong SQL based transformation and dimensional modeling skills; business acumen and clear communication with non technical stakeholders. Skills it names include SQL, Dimensional modeling, Business Intelligence.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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