A growing healthcare education universityHiring

Analytics Engineer

  • Remote, United States
  • Full-time
  • Mid-level
  • Posted 2 weeks ago
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or apply from Claude / ChatGPT / Muse

In one line

Analytics engineer who turns data from many systems into clean, documented datasets and dashboards; remote or hybrid at a campus.

About the role

Reporting and planning across the university depend on a trusted data foundation. The person builds the models, metrics and tooling that let staff answer their own questions with confidence.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Employment
Full-time
Skills
ETL, SQL, Data Modeling, Data Visualization, Data Governance
Posted
9 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Design and keep data models that feed dashboards, reports and deeper analysis
  • Turn raw data from several systems into tidy, well-documented datasets
  • Convert reporting needs into models, metrics and KPIs
  • Build and look after semantic layers and shared metric definitions
  • Tune models for speed, scale and long-term upkeep

What they look for

  • Strong analytical and technical skills, plus curiosity
  • Comfort translating business questions into technical data models
  • Experience with ETL work across varied data sources
  • Ability to explain findings to technical and non-technical colleagues
  • Care for data quality, testing and validation

Benefits

  • Self-directed paid time off and 12 paid holidays
  • Medical, dental and vision cover, disability cover and a 401(k) plan

A typical week

  • Write and refine data models and metric definitions
  • Pull and transform data from source systems into analytics-ready tables
  • Build dashboards and reports for university teams
  • Check data for gaps and fix quality issues
  • Meet colleagues to pin down reporting needs

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job d44zmeenpp
How to connect

Questions about this job

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

Yes. The posting lists Analytics Engineer as a remote role for 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: strong analytical and technical skills, plus curiosity; comfort translating business questions into technical data models; experience with ETL work across varied data sources. Skills it names include ETL, SQL, Data Modeling, Data Visualization.

How do I apply with Keywordise AI?

Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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A growing healthcare education universityRemote, United States
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