Product Testing Analyst
- Remote, United States
- Mid-level
- Posted 3 days ago
or apply from Claude / ChatGPT / Muse
Data analyst role on a US and global analytics team, building and checking data products for marketing, with hands-on work in SQL, Python and cloud tools.
About the role
Product validation and data quality sit at the center of the job: checking new data partners, watching refreshes and signing off releases before they reach users.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Skills
- SQL, Python, Scala, Spark, ETL, Databricks, Snowflake
- Posted
- 1 Nov 2026
- Last checked
- 3 Nov 2026
What you will do
- Research data partners and set up checks that keep incoming data clean
- Build analysis datasets by merging, deduping and loading data, then query for anomalies
- Work with engineering and delivery teams so data reaches platforms correctly, and suggest automation
What they look for
- Three to five years with ETL, data pipelines, data marts or warehousing, plus SQL, R, Python, Scala or Spark
- Three to five years in cloud environments, with Databricks or Snowflake a plus
- A degree in a quantitative field such as statistics, economics, maths or computer science, and comfort with large datasets
- Critical thinking and care with detail, able to work alone from clear specs and hit deadlines
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 salljlfu65Questions about this job
Can I do this job remotely, and from which countries?
Yes, it is listed as remote, aimed at 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: three to five years with ETL, data pipelines, data marts or warehousing, plus SQL, R, Python, Scala or Spark; three to five years in cloud environments, with Databricks or Snowflake a plus; a degree in a quantitative field such as statistics, economics, maths or computer science, and comfort with large datasets. Skills it names include SQL, Python, Scala, Spark.
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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