HR Analytics Analyst
- Remote, United States
- Full-time
- Mid-level
- Posted 5 days ago
or apply from Claude / ChatGPT / Muse
HR Analytics Analyst is a mid-level full-time remote role in the United States at a large home improvement retailer.
About the role
Work covers tested, version-controlled pipelines, controlled access to sensitive HR and payroll data, and documentation that people and AI tools can trust. The role also handles request intake and first response when a pipeline breaks.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- SQL, Google BigQuery, Git, Dataform, dbt, Python, Microsoft Power Automate
- Posted
- 30 Oct 2026
- Last checked
- 2 Nov 2026
What you will do
- Build tested, version-controlled data pipelines in Google BigQuery and keep sensitive HR and payroll access controlled and auditable
- Run analyses of HR and payroll data to find trends, root causes and solutions that inform business decisions
- Design dashboards and reports, gather requirements and maintain documentation and project plans
What they look for
- Advanced SQL in BigQuery or a similar cloud data warehouse
- Pipeline work with Git and a SQL tool such as Dataform or dbt
- Automation with Python or Microsoft Power Automate, plus data testing through assertions, reconciliations and quality checks
- Clear technical writing for runbooks and data documentation
How Keywordise applies for you
Alex Demo
[email protected]
From your CV
Yes, fully remote
- Sent
- 09:41
- Attached
- Your tailored CV
- 1Upload your CVAdd your CV once. It takes about a minute.
- 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
- 3The form fills itselfName, email, experience and screening questions, field by field.
- 4Application sentYou get a receipt and follow it in your dashboard.
Apply with Keywordise AI7-day free trial, no card.
Apply from your AI assistant
Connect Keywordise to your assistant once, then send it the prompt. It applies for you.
Claude
- In Claude, open Settings, then Connectors, and choose Add custom connector.
- Name it Keywordise and paste the connector URL.
- Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
ChatGPT
- In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
- Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
- Log in to Keywordise and approve. Then send the prompt in a new chat.
https://keywordise.com/mcpDisconnect any time in your Keywordise settings.
Muse
- Open Muse (muse.ai or the app) and send it the message below.
- If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
- Send the prompt. Muse asks before it sends anything.
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.
Apply to Keywordise job v7ufemz6j5Questions about this job
Is this job fully remote, and from where?
The posting lists it as remote for people 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: advanced SQL in BigQuery or a similar cloud data warehouse; pipeline work with Git and a SQL tool such as Dataform or dbt; automation with Python or Microsoft Power Automate, plus data testing through assertions, reconciliations and quality checks. Skills it names include SQL, Google BigQuery, Git, Dataform.
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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