Data Analyst
5 days ago
Peraton is seeking a highly skilled Data Analyst to support the Operational, Planning, Implementation, and Assessment Services (OPIAS) contract. The successful candidate will leverage empirical research findings and various data sets to support planning and operational assessments on behalf of US Northern Command (USNORTHCOM) in Colorado Springs, CO.
Key Responsibilities:
• Conduct analysis of structured and semi-structured data sets, to include opinion research, social media-based big data, and various secondary-source indices.
• Support assessments of the information environment, applying a combination of opinion research data, intelligence, operational reporting, and social media insights.
• Brief USNORTHCOM leadership on commissioned research findings (e.g., trends) and online data analysis.
• Provide data visualization and quantitative analysis; managing and optimize existing databases and associated dashboard(s); and reviewing / incorporating commissioned qualitative research to provide context to quantitative findings.
• Leverage online analytic tools kits for social media-related scrapes.
Requirements:
• Minimum of 5 years with BS/BA, minimum of 3 years with MS/MA, minimum of 0 years with PhD. Four years of relevant experience will be considered in lieu of a Bachelors degree.
• Bachelors degree or higher linked to data analytics (e.g., math, physics, computer science) OR problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.).
• Demonstrated experience applying social media-oriented data analytic tool kits towards the evaluations of problem sets in the information environment.
• Demonstrated experience in briefing senior military leadership (O-5 and above).
• Experience with building briefs summarizing data and research findings in MS PowerPoint.
• Willing and able to work in Colorado Springs, CO for the duration of the position.
• Willing and able to travel within the USNORTHCOM area of responsibility as required by the program.
• The ability to work on a team in a collaborative environment is a requirement.
• Current U.S. passport.
• Current Top Secret with eligibility for SCI.
Preferred Qualifications:
• Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.).
• Demonstrated experience applying data analytic tools towards addressing national security issues.
• Experiences with machine learning, natural language processing and Python script.
• Geospatial analytic package experience (e.g., ArcGIS, QGIS, etc.)
• Joint intelligence or operational experience with U.S. Geographical Combatant Commands.
• Prior experience working USNORTHCOM-based problem sets.
• Experience with campaign / operational assessments.
• OSINT experience for interpreting the relevance of online trends, themes, narratives, and adversary behaviors in the information environment.
• Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics.
About Peraton:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the cant be done by solving the most daunting challenges facing our customers. Visit https://www.peraton.com/ to learn how were keeping people around the world safe and secure.
Target Salary Range:
$104,000 - $166,000. This represents the typical salary range for this position based on experience and other factors.
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