HD Map Data Quality & GIS Analyst

Digital Fix Consulting LLC

Pittsburgh (Allegheny County)

Remote

USD 52.000 - 75.000

Vollzeit

14 Tage+
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Zusammenfassung

Digital Fix Consulting LLC is seeking a Data Services Analyst to join the Map Operations team, focusing on quality controlling HD map data and GIS workflows in a contract role.

The ideal candidate will digitize, curate, and process vehicle-log data, provide automation feedback, and communicate findings to cross-functional teams from a desk in a 2D/3D virtual environment. A GIS degree and experience in AI/self-driving settings are preferred.

Qualifikationen

  • Degree in GIS, Geography, Environmental Science, or related field.
  • Experience in AI/self-driving or similar.
  • Experience sourcing third party data for spatial analysis.
  • Proficiency in GIS software such as ArcGIS or QGIS.
  • Strong analytical and problem solving skills.
  • Excellent communication and teamwork abilities.

Aufgaben

  • Execute quality control functions in HD map data pipeline to ensure accuracy and consistency.
  • Produce HD map data through digitization, curation, and vehicle-log processing.
  • Provide automation feedback to improve efficiency of Map Operations.
  • Maintain and ensure the quality of GIS data and related processes.
  • Communicate production status, blockers, and quality findings to team leads and cross-functional stakeholders.
  • Analyze spatial data through the use of a wide variety of mapping software, internal and external.

Kenntnisse

GIS
ArcGIS
QGIS
Data analysis
Data management
Teamwork
Communication
Problem solving

Ausbildung

Associate or Bachelor’s Degree

Tools

ArcGIS
QGIS

Jobbeschreibung

Digital Fix Consulting LLC is seeking a Data Services Analyst to join the Map Operations team, focusing on quality controlling HD map data and GIS workflows in a contract role.

The ideal candidate will digitize, curate, and process vehicle-log data, provide automation feedback, and communicate findings to cross-functional teams from a desk in a 2D/3D virtual environment. A GIS degree and experience in AI/self-driving settings are preferred.

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