Job Information
Govini Data Analyst in Arlington, Virginia
Company Description
Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions.
Job Description
We are seeking highly motivated Data Analysts to perform in-depth quantitative and qualitative analyses on problems of importance to U.S. national security. These problems include, for example, assessing risk within the Defense Industrial Base, isolating inefficiencies in business operations, and quantifying how investments drive performance outcomes and align with strategic aims. Data Analysts are responsible for communicating data-driven insights to executives in the national security community using data visualization, compelling written papers, and briefings.
In order to do this job well, you must be analytical, curious, driven to solve problems and have an impact. Data Analysts at Govini have a firm understanding of how to use data to solve hard client problems. You have a quantitative mindset and understand the tools required to dig into data. You understand defense acquisition processes and the importance of effective and efficient program management. You ask hard, uncomfortable questions. You have a professional acumen that allows you to lead conversations with top DoD and government agency officials. You know there are always multiple answers to hard problems, and you know how to engage in a constructive dialogue to find the best path forward.
This role is a full-time position located out of our office in Arlington, VA.
This role may require up to 25% travel
Scope of Responsibilities
Use quantitative tools to clean, manipulate, and synthesize multiple streams of unstructured data
Conduct quantitative analysis to establish objective and accurate views of business operations, producing valuable insights for customers and recommendations to improve performance
Collaborate with internal stakeholders to develop expertise in Govini’s clients, offerings, and datasets
Orally and visually present data-driven findings in a concise and compelling manner to internal teams, as well as government officials
Demonstrate knowledge areas such as OSINT analysis, Supply Chain Risk Management, defense acquisitions and program management, government procurement, supplier assurance, federal contracting, and/or Planning, Programming, Budget, and Execution (PPBE)
Qualifications
- U.S. Citizenship is required
Required Skills:
Bachelor’s/Master’s degree in Mathematics, Economics, Data Science, Engineering, Computer Science or related programs
2-4 years experience performing national security-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
Proficiency with Python, R, or SQL
Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
Referenceable history of exceptional performance in conducting and presenting high-quality analysis to stakeholders
Outstanding listening, verbal, and written communication skills
Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision
Desired Skills:
Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
Experience in or exposure to the nuances of a startup or other entrepreneurial environment
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you.
Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.
