2

Mid Level Remote Financial Modeling Jobs (NOW HIRING)

Mid Level Cloud Engineer

$57 - $76.25/hr

Mid Level Cloud Engineer Remote Changeis, Inc. is seeking a Mid-Level Cloud Engineer to support enterprise IT shared services operations within a cabinet-level federal agency environment . This role ...

Data Engineer, Mid-level

$114K - $137K/yr

Remote, US #LI-JL1 Working at DMI DMI is a diverse, prosperous, and rewarding place to work. Our ... Financial - Generous 401(k) matches, life and disability insurance, and financial wellness tools to ...

Tired of promised adventures during the hiring phase, then dropped off on a remote contract and ... Financial Planning Assistance * Bereavement and Jury Duty Leave * Monthly Team and Family Events

New

\n \n \n \n \n Our client, a growing tech company based in Ireland is looking to bring on a mid level PHP Developer on a fully remote, rolling contract. \n \n \n \n \n \n Requirements \n \n \n * 2 ...

next page

Showing results 1-20

Mid Level Remote Financial Modeling information

See salary details

$76K

$110.8K

$136K

How much do mid level remote financial modeling jobs pay per year?

As of Jun 19, 2026, the average yearly pay for mid level remote financial modeling in the United States is $110,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $124,500.00 per year, depending on experience, location, and employer.
What cities are hiring for Mid Level Remote Financial Modeling jobs? Cities with the most Mid Level Remote Financial Modeling job openings:
What are the most commonly searched types of Remote Financial Modeling jobs? The most popular types of Remote Financial Modeling jobs are:
What states have the most Mid Level Remote Financial Modeling jobs? States with the most job openings for Mid Level Remote Financial Modeling jobs include:
Imagery Analyst -- Mid-Level, Senior, and Expert

Imagery Analyst -- Mid-Level, Senior, and Expert

Altamira Technologies Corp.

Augusta, GA • Remote

Full-time

Posted 16 days ago


Job description

Imagery Analyst — Mid-Level, Senior, and Expert 
Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiate us from other companies.
We are seeking Imagery Analysts at the Mid-Level, Senior, and Expert levels to support all-source analytic production. Candidates will interpret imagery, including visible, infrared, radar data, and full motion video, to identify foreign conventional and unconventional military installations, civilian infrastructure relevant to military capabilities, weapon systems, orders of battle, military equipment and defenses, battle damage assessments, communications, and humanitarian efforts.
Required Education and Experience
Mid-Level Imagery Analyst
  • BA/BS degree in Remote Sensing, Cartography, Geography, or a related field and at least 10 years of Intelligence Analysis experience, including 8 years of current GEOINT Analysis experience; or
  • High school diploma/GED with specialized training and at least 15 years of Intelligence Analysis experience, including 10 years of current GEOINT Analysis experience
Senior Imagery Analyst
  • MA/MS degree in Remote Sensing, Cartography, Geography, or a related field and 6 years of current GEOINT Analysis experience; or
  • BA/BS degree in Remote Sensing, Cartography, Geography, or a related field and at least 10 years of Intelligence Analysis experience, including 8 years of current GEOINT Analysis experience; or
  • High school diploma/GED with specialized training and at least 15 years of Intelligence Analysis experience, including 10 years of current GEOINT Analysis experience
Expert Imagery Analyst
  • Doctoral degree in Remote Sensing, Cartography, Geography, or a related field and 5 years of current GEOINT Analysis experience; or
  • MA/MS degree in Remote Sensing, Cartography, Geography, or a related field and 10 years of current GEOINT Analysis experience; or
  • BA/BS degree in Remote Sensing, Cartography, Geography, or a related field and at least 15 years of Intelligence Analysis experience, including 8 years of current GEOINT Analysis experience
Required Qualifications
  • Must possess strong written and oral communication, research, and analytic skills
  • Experience researching, developing, and delivering professional briefings, multimedia presentations, and written reports
  • Experience with intelligence collection, fusion, analysis, production, and dissemination
  • Knowledge of Army structure and defense-level intelligence operations
  • Experience with tradecraft, publication, working groups, and coordination across intelligence communities
  • Ability to assimilate large volumes of information and independently produce written reports
  • Experience with assessments, enterprise data integration, governance, metrics, metadata management, data modeling, and design
  • Current/active TS/SCI clearance
For Expert-level candidates, additional qualifications include:
  • Relevant specialized experience in space-based GEOINT
  • Expert knowledge of U.S. Government and commercial satellite capabilities, including tasking and collection processes
  • Expert knowledge of GEOINT software such as RemoteView, SOCET GXP, or ArcGIS
  • Experience with photogrammetric principles and techniques
  • Experience conducting Foundational Military Intelligence analysis and baseline reporting
  • Experience with object-based production, structured observation management, activity-based intelligence, and analytic modeling
  • Ability to collaborate with GEOINT analysts, Intelligence Community partners, and DoD stakeholders
Desired Qualifications
  • GEOINT Professional Certification, such as GPC-F, GPC-II, GPC-IA-II, GPC-GA-II, or GPC-IS-II
  • Specialized training from an intelligence collection and analysis school
  • Knowledge and understanding of the National System for GEOINT
  • Experience with intelligence operations and drafting expert assessments
  • Experience with commercial visualization software
  • Experience with non-traditional GEOINT data sources
  • Experience with Microsoft Office tools
  • Experience with data analytics and COTS statistical software, such as SPSS, SAS, or MATLAB
  • Experience presenting at community forums or symposiums