Staff Data Analyst
- Remote, United States
- Senior
- Posted 10 days ago
or apply from Claude / ChatGPT / Muse
Analytics lead who acts as an internal data consultant, going deep with two or three business functions and building self-serve reporting.
About the role
A good fit is someone who pairs the framing skills of a consultant with hands-on SQL, and who wants to own analytics as a product rather than take tickets.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Senior
- Skills
- SQL, Snowflake, dbt, Omni, Looker, Sigma, Attribution, Funnel analysis
- Posted
- 19 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Turn messy analyses into clear stories aimed at the audience that has to decide
- Treat analytics like a product: learn user needs, rank the work, keep a shared plan
- Partner with stakeholders across functions to set priorities and push decisions forward
- Use AI tools to speed up modeling and analysis
What they look for
- Seven or more years in analytics or data, including work directly with senior leaders
- Hands-on marketing analytics: attribution, campaign measurement, funnel analysis
- SQL plus the modern data stack, with tools like Snowflake, dbt and BI layers such as Omni, Looker or Sigma
- Experience building or directing predictive models and experiments, and judging when results hold up
Nice to have
- Familiarity with commercial drivers in go-to-market teams
Benefits
- Remote-first setup with a global workforce
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 jwsrjxzmezQuestions about this job
Is this a remote job, and where can I work from?
Yes, it is listed as remote, aimed at candidates in the United States.
What does this job pay?
The posting does not state a salary, so there is no figure to quote.
What experience is needed?
It is a senior role. The posting asks for: seven or more years in analytics or data, including work directly with senior leaders; hands-on marketing analytics: attribution, campaign measurement, funnel analysis; SQL plus the modern data stack, with tools like Snowflake, dbt and BI layers such as Omni, Looker or Sigma. Skills it names include SQL, Snowflake, dbt, Omni.
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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