Hybrid GIS QA Analyst II — Data Quality & Compliance

One Gas; Tulsa (OK); Hybrid; USD 65,000 - 90,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(K) plan with 100% match

Profit Sharing

Education Assistance

Job summary

ONE Gas is seeking a Quality Assurance Analyst II for GIS Services in Tulsa, OK (Hybrid). You will define QA standards for GIS and EAM data, develop QA processes, and create reporting metrics to ensure data accuracy and compliance.

The role requires a Bachelor's in GIS/related field and 2–4 years of experience with ArcGIS Pro, Maximo, and BI tools. We value independent workers who can communicate effectively and drive data quality improvements across teams.

Qualifications

• Bachelor's degree in GIS, engineering, business or closely related field.
• 2+ years (4 years max) experience in geospatial data management and analytics.
• Proven experience with Esri ArcGIS Pro and IBM Maximo required.
• Experience analyzing large tabular data sets and using Power BI, SQL, Python, FME.

Responsibilities

• Develop and maintain QA methodologies for GIS and EAM data.
• Create quality metrics and reports to track data quality improvements.
• Analyze data completeness and accuracy and report findings.
• Identify improvement opportunities for data processes and tools.
• Support data quality issues and coordinate resolutions.
• Communicate findings clearly to stakeholders.

Skills

Geospatial data analysis

Data quality auditing

Independent worker

Effective communicator

Education

Bachelor's degree in Geographic/Geospatial Information Science

Tools

Esri ArcGIS Pro

IBM Maximo

Power BI

SQL

Python

FME

Job description

ONE Gas is seeking a Quality Assurance Analyst II for GIS Services in Tulsa, OK (Hybrid). You will define QA standards for GIS and EAM data, develop QA processes, and create reporting metrics to ensure data accuracy and compliance.

The role requires a Bachelor's in GIS/related field and 2–4 years of experience with ArcGIS Pro, Maximo, and BI tools. We value independent workers who can communicate effectively and drive data quality improvements across teams.