PatientPointHiring

Manager, Analytics Engineering

  • Remote, United States
  • Full-time
  • Lead
  • Posted 2 weeks ago
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In one line

Lead a team of data visualization engineers, mostly remote but tied to Eastern Time, with occasional travel. The work centers on dbt, Looker and Snowflake.

About the role

Remote within Eastern Time, or hybrid in two US cities, with a few trips a year. The team turns raw data into governed, reusable assets that others can trust for self-service reporting.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Employment
Full-time
Working hours
Remote within Eastern Time Zone
Skills
dbt, LookML, Snowflake, Looker, BI
Posted
21 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Run and coach a group of data visualization engineers, handling priorities, staffing and delivery.
  • Own the shared dbt, Snowflake and Looker setup, setting rules for models, tests, docs and versioning.
  • Work with data engineering, reporting and analytics teams so pipelines and dashboards fit business needs.
  • Keep one agreed set of core metrics so definitions match across every BI tool and report.

What they look for

  • Degree in computer science, information systems, data engineering, analytics or a similar field.
  • At least five years in data visualization or data engineering.
  • Two or more years managing or mentoring a team.

How Keywordise applies for you

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Muse

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Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Manager, Analytics Engineering as a remote role for candidates in the United States. On hours, the posting says: Remote within Eastern Time Zone.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a lead role. The posting asks for: degree in computer science, information systems, data engineering, analytics or a similar field; at least five years in data visualization or data engineering; two or more years managing or mentoring a team. Skills it names include dbt, LookML, Snowflake, Looker.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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