Data Analyst

Posted 4 Days Ago
2 Locations
In-Office
115K-139K Annually
Mid level
Software • Analytics • Defense
The Role
Analyze complex geospatial datasets using statistical methods, maintain clean and compliant data holdings, build lightweight pipeline-tracking tools, and create visualizations for technical and non-technical audiences. The role supports a geospatial imagery program and requires active TS/SCI clearance, coding proficiency, and experience communicating analytical insights.
Summary Generated by Built In
Overview

Data Analyst

Springfield, VA or St. Louis, MO

Active TS/SCI


At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 


Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Data Analyst in Springfield, VA or St. Louis, MO.

Responsibilities

You will support a geospatial imagery program by keeping data holdings clean, compliant, and well understood. That means statistical analysis, building lightweight tools to track pipeline progress, and developing visualizations that help the team see what is happening with the data. The role is mid-level, but the data is not simple. Experience with geospatial datasets and a comfort with writing code to solve analytical problems will go a long way here. 

Qualifications

Required Qualifications:   

  • Active TS/SCI clearance 
  • Experience preparing, analyzing, and drawing insights from large, complex geospatial datasets using statistical methods 
  • Working proficiency in Python, R, SQL, GIS tools, or Tableau 
  • Experience building visualizations that communicate results clearly to both technical and non-technical audiences 

Desired Qualifications:  

  • Background in AI/ML-adjacent work related to imagery analysis or exploitation
What you can expect from us
  • The expected salary range within the Washington, DC metropolitan area is: $115,000-$139,000. Final compensation is unique to each individual and will be determined based on factors such as experience, education, geographic location, and contractual requirements. This is not a guarantee.
  • Benefits include Health/Dental/Vision, 401(k), Paid Time Off, STD/LTD/Life Insurance/Voluntary Life Insurance, Stipends, Referral Bonuses, and more.

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Skills Required

  • Active TS/SCI security clearance
  • Experience preparing, analyzing, and drawing insights from large, complex geospatial datasets using statistical methods
  • Working proficiency in Python, R, SQL, GIS tools, or Tableau
  • Experience building visualizations that clearly communicate results to technical and non-technical audiences
  • Background in AI/ML-adjacent work related to imagery analysis or exploitation
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The Company
HQ: Haymarket, VA
9 Employees
Year Founded: 2020

What We Do

GeoYeti is a government-services and intelligence company that helps the Intelligence Community and Department of Defense achieve mission outcomes through advanced analytics, data science, and bespoke application development. Its capabilities include non-traditional data analysis, Agile Analytics, and an Analysis-as-a-Service approach that connects analysts, software teams, data collectors, and mission stakeholders while improving the speed, precision, and efficiency of intelligence operations.

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