Geospatial Analysis Intern

Geospatial Analysis Intern

BlackSky is a real-time intelligence company. We own and operate the world's most advanced space-based intelligence platform and provide customers satellite imagery, automated analytics and high-frequency monitoring of strategic locations, economic assets, and events from around the globe. BlackSky is trusted by the most demanding allied military and intelligence organizations and commercial companies to deliver foresight into critical matters that affect national security and the economy. BlackSky's data enables governments and businesses to see, understand and anticipate change as it happens, giving them the ultimate strategic advantage so they can act quickly. Our global team works with cutting-edge technology to make a difference around the world and prides itself on being people-first, customer-focused and fun.

Note: This internship opportunity is open only to current students on the University of New Mexico. Applicants must be actively enrolled at UNM at the time of application.  

BlackSky is looking for a Geospatial Analysis Intern for the summer of 2025 to work within our First to Know team. As a member of this team, you will work with geospatial analysts, software engineers, and data scientists on these projects, and report to the Staff Geospatial Analyst. You will work with the team to generate analytic products highlighting BlackSky capabilities, develop new products/capabilities incorporating a variety of other data, and manage/query/update geospatial datasets used across multiple projects. The ideal candidate has experience working within a geospatial framework, with coursework specifically in geographic information system (GIS) or satellite imagery analysis, as well as experience manipulating and analyzing data using Python. Additionally, the ideal candidate has demonstrated their ability to analyze a geospatial problem or project and effectively communicate the results to both domain experts and people outside of that domain.

This position is based in Herndon, VA and requires the selected candidate to work from that office on a hybrid basis. This is a paid summer internship position.

Responsibilities: 

• Assist First to Know team in identifying important global events or locations to monitor.
• Submit and manage tasks for imagery collection.
• Generate imagery or GIS analysis products.
• Manage geospatial data, including conducting quality checks and maintaining version control.
• Adapt/develop lightweight Python scripts.
• Other job-related duties as assigned.

Required Qualifications: 

• Current student at the University of New Mexico studying computer science, geography, intelligence analysis, or other relevant degree.
• Rising junior, senior or grad student status as of summer 2025.
• Prior experience using Python.
• Prior experience with geospatial and/or imagery analysis programs such as QGIS, ESRI Suite, SOCET GXP, ENVI, or ERDAS Imagine.
• Understanding of geospatial data formats, coordinate systems, and management practices.
• Ability to communicate clearly and concisely.

Preferred Qualifications: 

• Experience with imagery interpretation.
• Basic knowledge of how to use APIs.
• Experience using Python outside of ESRI workflows.

BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

EEO/AAP/ Pay Transparency Statements:

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf

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