Data Analyst

Data Analyst / Data Scientist InternMorgan 6 (M6) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA-certified HUBZone company headquartered in Charleston, South Carolina. We deliver expert talent with high-demand, low-density skill sets to support critical U.
S. Government missions in areas such as special operations, intelligence, cybersecurity, agile development, and IT support.
Most importantly, we are — and we support — Warriors First.
M6 Core Values – HEROICHonor – Act with integrity and truthfulness.
Excellence – Strive for quality in all we do.
Resourcefulness – Innovate and embrace change.
One Team – Stand together and treat each other with respect.
Iron Sharpens Iron – Encourage personal and professional growth.
Castle Defense – Protect the resources entrusted to us.
Position SummaryMorgan 6 (M6) is seeking a motivated, curious, and analytically minded Data Analyst / Data Scientist Intern interested in applying data analysis, statistical methods, and emerging technologies to real-world business and national security challenges.
This internship provides students with hands-on experience working alongside M6's data science, intelligence, and technology professionals to support data-driven research, analytical projects, and operational decision-making. The intern will assist with collecting, cleaning, organizing, and analyzing data, exploring patterns and trends, developing visualizations, and supporting the application of statistical and data science techniques to practical problems. The ideal candidate is currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field and enjoys solving problems, working with data, and learning new technologies.
No previous professional experience is required. We are looking for students with strong analytical curiosity, foundational technical skills, and a willingness to learn and contribute to meaningful projects.

Key Responsibilities
Data Collection & PreparationAssist with collecting, organizing, cleaning, and validating structured and unstructured data.
Support data preparation activities, including identifying missing information, inconsistencies, and duplicate records.
Help organize datasets for analysis, reporting, and research.
Learn and apply data quality and documentation practices.
Data Analysis & Statistical ResearchAssist with analyzing datasets to identify trends, patterns, and relationships.
Apply foundational statistical concepts to support analytical projects.
Explore data using spreadsheets, programming languages, and analytical tools.
Support research activities involving business operations, technology, intelligence, and national security applications.
Help interpret analytical results and communicate findings to team members.
Data Visualization & ReportingSupport the development of dashboards, charts, graphs, and other data visualizations.
Assist with preparing analytical reports, presentations, and research summaries.
Learn how to communicate complex data findings in clear, understandable formats.
Help maintain recurring reports and performance metrics.
Data Science & Emerging TechnologiesGain exposure to data science workflows, predictive analytics, and machine learning concepts.
Assist with testing and evaluating analytical methods or models under the guidance of experienced professionals.
Support exploratory research involving automation, artificial intelligence, and emerging data technologies.
Participate in technical discussions and collaborative problem-solving activities.
Help document analytical processes, methodologies, and project findings.
Collaboration & Special ProjectsWork alongside data scientists, analysts, and other technical professionals on assigned projects.
Assist with research and analysis supporting M6 business operations and government customer initiatives, as authorized.
Participate in team meetings, project discussions, and learning opportunities.
Support additional data-related assignments based on individual interests, skills, and project needs.
RequirementsCurrently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Information Systems, Engineering, or a related field.
Foundational understanding of data analysis, statistics, or quantitative problem-solving through coursework or academic projects.
Basic proficiency in Microsoft Excel or similar spreadsheet applications.
Interest in learning programming languages and analytical tools such as Python, R, or SQL.
Strong analytical thinking, curiosity, and problem-solving skills.
Good organizational skills and attention to detail.
Ability to communicate findings clearly and work collaboratively.
Willingness to learn new technologies, analytical techniques, and business processes.
Preferred Qualifications (Not Required)Exposure to Python, R, SQL, or similar programming languages through coursework or personal projects.
Familiarity with data visualization tools such as Po