A company in fleet telematics and IoT hardwareHiring

Hardware Data Analyst

  • Remote, United States
  • Mid-level
  • Posted 2 weeks ago
In one line

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

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Questions 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.

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A company in fleet telematics and IoT hardwareRemote, United States
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