GIS Data Quality Analyst II – Hybrid

ONE Gas, Inc.

Tulsa, Northern (OK, KY)

Hybrid

USD 65,000 - 95,000

Full time

40 hours ago
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Benefits offered by this job

Hybrid work model
Employee benefits

Job summary

ONE Gas, Inc. is seeking a Quality Assurance Analyst II for GIS Services in Tulsa, OK, with a hybrid work arrangement across multiple U.S. locations. The role focuses on defining standards to ensure GIS and EAM data compliance and quality aligned with internal requirements.

The candidate will develop QA processes, analyze large data sets, and create reports that illuminate data quality trends and opportunities for improvement. Strong communication and independent work ability are essential.

Qualifications

  • Bachelor's degree in Geographic/Geospatial Information Science or related field.
  • Two to four years of relevant professional experience; minimum one year.
  • Experience with Esri ArcGIS Pro and IBM Maximo, plus Power BI, SQL, Python, and FME.

Responsibilities

  • Develop and maintain QA methodologies to ensure GIS and EAM data accuracy, completeness, and timeliness.
  • Create QA processes to review data entry and identify issues at editor and process levels.
  • Analyze and document data completeness; produce reports on data quality and improvements.
  • Develop and maintain data quality reporting metrics.
  • Identify and coordinate data and process improvement solutions.
  • Support data quality issues and ensure reliable performance.

Skills

Independent work
Communication
Data analysis

Education

Bachelor's degree in GIS/Geospatial Science or related field

Tools

Esri ArcGIS Pro
IBM Maximo
Power BI
SQL
Python
FME

Job description

ONE Gas, Inc. is seeking a Quality Assurance Analyst II for GIS Services in Tulsa, OK, with a hybrid work arrangement across multiple U.S. locations. The role focuses on defining standards to ensure GIS and EAM data compliance and quality aligned with internal requirements.

The candidate will develop QA processes, analyze large data sets, and create reports that illuminate data quality trends and opportunities for improvement. Strong communication and independent work ability are essential.

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