Hardware Data Analyst
- Remote, United States
- Mid-level
- Posted 2 weeks ago
or apply from Claude / ChatGPT / Muse
Data analyst role on a hardware and IoT team, turning sensor and telematics data into reliability insights; remote, US work authorization required.
About the role
The team analyzes field data from a large fleet of deployed devices to find performance problems and confirm firmware fixes. Work spans engineering, product, data science and support.
At a glance
- Pay
- Not stated in the posting
- Remote scope
- Remote, United States
- Seniority
- Mid-level
- Skills
- Python, SQL, MATLAB, Excel, QuickSight, Tableau, Streamlit, Looker
- Visa
- No sponsorship
- Posted
- 13 Oct 2026
- Last checked
- 29 Oct 2026
What you will do
- Build dashboards and reports in QuickSight, Tableau or Python libraries to show performance metrics
- Watch incoming sensor and analytics data for trends, anomalies and field issues
- Apply statistical models and machine learning to recommend reliability and performance fixes
- Compare outputs across firmware versions to confirm gains or catch regressions
- Work with hardware engineers, product managers and data scientists on analysis plans
- Design data pipelines with engineering and data science for large-scale field data
What they look for
- Two to four years in data analysis, ideally with hardware or IoT exposure
- Hands-on Python, SQL, MATLAB or Excel for analysis and modeling
- Experience with QuickSight, Tableau, Streamlit or Looker
- Grasp of statistical modeling, machine learning and time-series analysis
- Able to turn findings into clear recommendations
Nice to have
- Cloud experience with AWS services such as S3, Redshift, Kinesis or IoT Core
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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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 ohosot2z43Questions about this job
Is this job fully remote, and from where?
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 mid-level role. The posting asks for: two to four years in data analysis, ideally with hardware or IoT exposure; hands-on Python, SQL, MATLAB or Excel for analysis and modeling; experience with QuickSight, Tableau, Streamlit or Looker. Skills it names include Python, SQL, MATLAB, Excel.
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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