Posted 6d ago

Geospatial Analyst/Database Developer (Oracle) - TS/SCI w/ Poly

@ Leading Path Consulting
Chantilly, Virginia, United States
OnsiteFull Time
Responsibilities:managing database, developing queries, analyzing data
Requirements Summary:Manage Oracle Spatial DB, develop spatial queries, Python/SQL scripting, ESRI GIS tools, geospatial data analysis, independent work ethic.
Technical Tools Mentioned:Oracle Spatial, SQL, Python, JSON, XML, ArcGIS, ArchCatalog
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Job Description

JOB DESCRIPTION

The Geospatial Analyst/Database developer will play a critical role in managing and analyzing

geospatial data to support a mission-focused team. They will be responsible for supporting and

maintaining an Oracle Spatial database, as well as leveraging ESRI GIS tools to provide insights

and value to analysts. The ideal candidate is a self-motivated individual who is comfortable

working independently and is proactive in identifying opportunities to provide value to

stakeholders. This role offers the opportunity to directly support a high-priority mission and to

make a meaningful impact on the successes of the team.

KEY RESPONSIBILITIES

 Manage and administer an Oracle Spatial database, including tables, procedures, and

views, as well as performing other database administration tasks

 Develop and execute spatial queries to support analyst requests to drive business

outcomes

 Utilize scripting languages (e.g. Python, SQL, etc.) to parse and process files of various

formats including but not limited to: CSV, JSON and XML.

 Leverage ESRI GIS tool suite (e.g. ArchGIS, ArchMap, etc.) to analyze and visualize

geospatial data

 Collaborate with analysts to understand their geospatial data needs and develop solutions

to meet those needs

 Proactively identify opportunities to provide value to analysts based on available

geospatial datasets and develop solutions to meet those needs

 Work independently with minimal supervision, requiring strong problem-solving skills

and the ability to prioritize tasks effectively

 Apply Data Science techniques to leverage information between data collections,

including but not limited to:

o Creating data visualizations and reports to communicate insights to stakeholders

o Developing data fusion and integration strategies to combine data from multiple

sources

 Perform other related duties as assigned