Data Analyst, Data Lake
- Remote, Romania
- Mid-level
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Data analyst role on a large agile team, preparing and modelling data in an enterprise data lake for an automotive client, remote within Romania.
About the role
Analytical modelling and data preparation sit at the centre of this work, from ingestion rules through to validated dashboards. Outputs need to be documented and traceable for business stakeholders.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, Romania
- Seniority
- Mid-level
- Working hours
- Romania business hours (EET)
- Skills
- SQL, Python, Scala, Dataiku, BigQuery, Airflow, Jira
- Posted
- 20 Oct 2026
- Last checked
- 1 Nov 2026
What you will do
- Prepare, transform and check data with SQL, Python, R and Scala
- Build and maintain data preparation workflows in Dataiku
- Support ingestion into the lake, including source mapping and validation controls
- Write analytical models and document their rules, assumptions and limits
- Build dashboards or write specs for BI teams to build them
What they look for
- Three or more years in data analysis or a similar data role
- Solid SQL plus Python or Scala for analysis and processing
- Experience with ingestion, transformation and analytical modelling
- Hands-on use of a BI tool such as Looker, SAP Analytics Cloud, Tableau or Qlik
- Knowledge of cloud data platforms and Google Cloud services like BigQuery, Airflow and DataProc
- Grasp of database concepts, data structures and modelling
Nice to have
- Statistical methods applied to exploratory analysis
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.
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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 gjxfqxf3vmQuestions about this job
Can I do this job remotely, and from which countries?
Yes. The posting lists Data Analyst, Data Lake as a remote role for candidates in Romania. On hours, the posting says: Romania business hours (EET).
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: three or more years in data analysis or a similar data role; solid SQL plus Python or Scala for analysis and processing; experience with ingestion, transformation and analytical modelling. Skills it names include SQL, Python, Scala, Dataiku.
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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