Senior GIS Analyst - Remote, Data Remediation & BI

Socket.dev

United States

Remote

USD 95,000 - 130,000

Full time

14 days+
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Benefits offered by this job

401(k)
401(k) matching
Bonus based on performance
Company parties
Competitive salary
Dental insurance
Health insurance
Opportunity for advancement
Paid time off
Training & development
Vision insurance

Job summary

Silverthorne Advisory Group is seeking an experienced GIS Senior Analyst to support Air Force geospatial and audit remediation initiatives. The role blends advanced geospatial data analytics, database management, and field validation with Air Force Real Property requirements.

The ideal candidate will diagnose complex spatial data gaps, perform enterprise-level remediation, and translate findings into business intelligence using modern analytics platforms.

Qualifications

  • Bachelor’s degree in GIS, geography, civil engineering or a related field.
  • Proficiency with enterprise GIS suites and CAD/drawing interpretation.
  • Experience diagnosing complex data discrepancies and implementing remediation.

Responsibilities

  • Identify and remediate complex spatial/attribute data gaps across Air Force geospatial datasets.
  • Lead QA/QC routines to detect missing, obsolete, or fragmented spatial data and discrepancies.
  • Translate findings into actionable business intelligence with dashboards and reports.
  • Provide field validation and technical assistance to base-level offices; conduct site visits as needed.

Skills

Enterprise GIS suites
CAD/drawing interpretation
Survey integration
Root-cause data remediation
GNSS/GPS/LiDAR field collection

Education

Bachelor’s Degree in GIS/Geography/Civil Engineering or related field

Tools

NexGen IT / TRIRIGA

Job description

Silverthorne Advisory Group is seeking an experienced GIS Senior Analyst to support Air Force geospatial and audit remediation initiatives. The role blends advanced geospatial data analytics, database management, and field validation with Air Force Real Property requirements.

The ideal candidate will diagnose complex spatial data gaps, perform enterprise-level remediation, and translate findings into business intelligence using modern analytics platforms.

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