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Commission Spatial Data Analyst Jobs (NOW HIRING)

Iapetus Holdings LLC

Data Analyst

Dallas, TX

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

New

Iapetus Holdings LLC

Data Analyst

Dallas, TX · On-site

Experience with GIS tools and spatial data analysis. * Understanding of data governance and compliance requirements. What We Offer: * Competitive salary and benefits package. * Opportunity to work on ...

New

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Familiarity with marine spatial data * 5+ years of documented GIS experience using ESRI and open ... Analyst will have the following: * Marine science background * Experience with ESRI Portal ...

RecruitTalent LLC.

GIS Analyst

Suffolk, VA · On-site

We are seeking a skilled GIS Analyst to manage and analyze spatial data to support decision-making processes. The ideal candidate will have at least 5 years of professional experience, a bachelor ...

Piper Networks

Point Cloud Data Analyst

San Diego, CA · On-site

They are seeking a Point Cloud Data Analyst to analyze lidar scans and ensure their alignment to ... spatial data or 3D software (hobby level included) Company : Piper Networks is a new train and ...

Dev Technology

Senior Data Analyst

Vienna, VA · On-site

$86K - $108K/yr

Conduct spatial data analysis using GIS software (ArcGIS) * Clean and preprocess data, handling inconsistencies and outliers using tools like SQL and Excel to prepare it for analysis. * Design and ...

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All JobsCommission Spatial Data Analyst Jobs

Commission Spatial Data Analyst information

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$34K

$82.6K

$136K

How much do commission spatial data analyst jobs pay per year?

As of Jun 24, 2026, the average yearly pay for commission spatial data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Commission Spatial Data Analyst vs GIS Analyst?

AspectCommission Spatial Data AnalystGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentGovernment agencies, commissions, public sectorGovernment, private sector, consulting firms
Employer & Industry UsageUsed in government commissions for spatial analysisUsed across various industries for spatial data management
Common Search & ComparisonOften compared for roles involving spatial data in governmentBroader GIS roles in multiple sectors

The Commission Spatial Data Analyst and GIS Analyst roles share similar educational backgrounds and certifications. However, the Commission Spatial Data Analyst typically works within government commissions focusing on spatial data analysis for public projects, while the GIS Analyst has a broader industry presence across private and public sectors. Both roles require GIS skills and certifications, but their work environments and employer types differ.

What cities are hiring for Commission Spatial Data Analyst jobs? Cities with the most Commission Spatial Data Analyst job openings:
What are the most commonly searched types of Spatial Data Analyst jobs? The most popular types of Spatial Data Analyst jobs are:
What states have the most Commission Spatial Data Analyst jobs? States with the most job openings for Commission Spatial Data Analyst jobs include:
Commission Spatial Data Analyst jobs near you

VDOT Data Analyst/Cloud ETL Developer

Argyle Infotech

Richmond, VA • On-site

Other

Posted 3 days ago

Job description

Master Data Analyst

The position is for a Master Data Analyst to work as a part of the Enterprise Data Asset team at the Virginia Department of Transportation (VDOT) Information Technology Division (ITD). The role involves analyzing datasets for a cloud-based data management platform, developing data requirements, user stories, acceptance criteria, and testing strategies. The Data Analyst is also required to develop ETL to extract business and spatial data and load it into a data warehousing environment. The role requires deep knowledge of coding languages such as Python, Java, XML, SQL, and warehousing architecture techniques such as MOLAP, ROLAP, ODS, DM, and EDW. The position requires working closely with various teams to understand the company’s data storage needs and develop data warehousing options. The Data Analyst will be responsible for managing multiple projects, maintaining flexibility and productivity in a fast-paced environment. The role also involves working with the Project team members and business stakeholders to understand business processes and pain points, eliciting, recording, and managing metadata, creating conceptual prototypes and mock-ups, and performing Quality Analyst functions. The role requires a minimum of 10 years of experience in delivering business data analysis artifacts, 5+ years of experience as an Agile Business Analyst, and experience with Azure Databricks, ESRI ArcGIS, enterprise data management, Microsoft Office products, and reporting systems. Preferred skills include strong knowledge of database architectures, strong analytical and problem-solving skills, ability to build strong relationships, prioritize and handle multiple tasks and projects, strong written and verbal communication skills, and a desire to learn, innovate, and evolve technology. The role requires extensive familiarity with ETL, data warehousing, and business intelligence tools such as Business Objects, PowerBI, and Tableau, and experience with key data warehousing architectures including Kimball and Inmon. Technologies required include Data Factory v2, Data Lake Store, Data Lake Analytics, Azure Analysis Services, AZURE Synapse, IBM Datastage, Erwin, SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL, Azure SQL Database, Azure SQL Datawarehouse, operating system environments (Windows, Unix, etc.), and scripting experience with Windows and/or Python, Linux Shell scripting.

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