Analytics Engineer
- USD 72,440 to 90,550 per year
- Remote, United States
- Full-time
- Mid-level
- Posted 3 weeks ago
or apply from Claude / ChatGPT / Muse
Build the production data layer in BigQuery for a finance team, replacing ad hoc queries with tested, documented models; remote with some travel.
About the role
Remote role reporting to a senior data analytics manager, with travel to headquarters six times a year. The work sits between raw data and reporting, giving the organisation trusted self-serve analytics.
At a glance
- Pay
- USD 72,440 to 90,550 per year
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Employment
- Full-time
- Skills
- BigQuery, Dataform, SQL, Data modeling, Continuous integration, Power BI
- Posted
- 2 Oct 2026
- Last checked
- 27 Oct 2026
What you will do
- Move business logic from hundreds of scheduled queries into governed, tested models
- Add automated data testing and continuous integration so quality is checked before changes ship
- Document models, metric definitions and lineage so knowledge stays in the system
- Work with analysts, stakeholders and IT on self-serve reporting and raw data ingestion
What they look for
- Bachelor's degree in a quantitative, technical or related field
- At least 2 years of data modelling experience
- Strong SQL and hands-on work building production-ready datasets
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 y2fins2vyoQuestions 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?
The posting states USD 72,440 to 90,550 per year.
What experience is needed?
It is a mid-level role. The posting asks for: bachelor's degree in a quantitative, technical or related field; at least 2 years of data modelling experience; strong SQL and hands-on work building production-ready datasets. Skills it names include BigQuery, Dataform, SQL, Data modeling.
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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