Data Analysis Intern - HUBZone Residency (REQUIRED)

Location: NexThreat LLC (Remote and/or On-site) Duration: 10-12 weeks (with potential for extension) HUBZone Residency (REQUIRED). You may determine if an address or a particular area is designated as a HUBZone by using the HUBZone Maps. Position Summary: NexThreat LLC is seeking an analytical and detail-oriented Data Analysis Intern to join our team through the HUBZone Internship Program for Government Contractors. The Data Analysis Intern will engage in data analysis, visualization, and processing, utilizingstate-of-the-art tools and techniques to uncover insights and trends. The ideal candidate has a strong interest in data science, a solid understanding of statistical methods, and excellent problem-solving abilities. Key Responsibilities: - Assist in the collection, cleaning, and organization of large datasets from various sources. - Perform data analysis using statistical methods and software tools to uncover trends, correlations, and insights. - Develop data visualizations and dashboards to effectively communicate findings to both technical and non-technical audiences. - Collaborate with cross-functional teams to identify opportunities for process improvements and data-driven decision-making. - Support ongoing projects and initiatives, contributing to the overall data strategy and goals of NexThreat LLC. Qualifications and Skills: - HUBZone Residency (REQUIRED) Your primary work location and address must be in an area designated as a Historically Underutilized Business Zone (HUBZone). - Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field. - Strong analytical, problem-solving, and critical thinking skills. - Familiarity with statistical methods and programming languages, such as R, Python, or SQL. - Proficiency in data visualization tools, such as Tableau, Power BI, or similar software. - Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.

Created: 2024-10-22