Drone Data Insights Specialist

CenterPoint Energy

Houston (TX)

On-site

USD 80,000 - 110,000

Full time

14 days+
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Benefits offered by this job

Transit subsidies
Flexible work schedule
Paid holidays and PTO
Tuition reimbursement
On-site wellness center

Job summary

CenterPoint Energy is seeking a UAS Data Analyst to support drone-based asset inspection programs. The role focuses on validating, organizing, and analyzing data from unmanned aircraft systems to deliver actionable insights for operations, GIS, and asset management.

You will build dashboards using Power BI or Tableau and collaborate across multiple teams to improve data quality and decision support. Ideal candidates have a Bachelor's degree in a related field and at least two years of data

Qualifications

  • Requires a Bachelor's degree in a related field (Data Analytics, CS, Engineering, GIS, etc.).
  • Minimum two years of experience in data analysis, data operations, or GIS.
  • Ability to obtain FAA Part 107 Remote Pilot Certificate.

Responsibilities

  • Review and validate AI-generated inspection findings from drone imagery and video.
  • Manage high volumes of UAS inspection data including imagery, telemetry, and geospatial data.
  • Develop repeatable processes for data intake, triage, validation, and storage.
  • Analyze results and create dashboards, scorecards, and reports for stakeholders.
  • Collaborate with UAS Operations, GIS, Engineering, and other teams to improve data usability.

Skills

Data analysis
Dashboard development
Power BI
Tableau
GIS
Attention to detail

Education

Bachelor's degree in Data Analytics or related field

Tools

Power BI
Tableau
GIS software

Job description

CenterPoint Energy is seeking a UAS Data Analyst to support drone-based asset inspection programs. The role focuses on validating, organizing, and analyzing data from unmanned aircraft systems to deliver actionable insights for operations, GIS, and asset management.

You will build dashboards using Power BI or Tableau and collaborate across multiple teams to improve data quality and decision support. Ideal candidates have a Bachelor's degree in a related field and at least two years of data

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