Data Analyst / Data Scientist Intern

Morgan 6 LLC

. Collect, organize, clean, and validate structured and unstructured data .

Posted 11/10/2026part-timeRemote • Florida • United StatesEntry Level💰 $10 - $20 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates foundational understanding of data analysis and statistics, with proficiency in programming languages such as Python, R, and SQL. Capable of organizing and analyzing datasets, developing visualizations, and communicating analytical findings effectively.

Highest-signal resume keywords

Data AnalysisStatistical ConceptsPython ProgrammingMicrosoft ExcelData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData ValidationStatistical AnalysisPredictive AnalyticsMachine LearningData MiningDatabase ManagementAnalytical ReportingData OrganizationQuantitative Problem-Solving

Soft Skills

Analytical ThinkingCuriosityProblem-SolvingOrganizational SkillsCommunication Skills

Tools & Technologies

Power BITableauJupyter NotebookPandasGit

Industry Keywords

Business AnalyticsNational Security ApplicationsAutomationEmerging Data TechnologiesResearch Support

Tech Stack

Tools & technologies

PandasPythonSQLTableau

About the role

Key responsibilities & impact

Collect, organize, clean, and validate structured and unstructured data
Identify missing information, inconsistencies, and duplicate records
Organize datasets for analysis, reporting, and research
Apply data quality and documentation practices
Analyze datasets to identify trends, patterns, and relationships
Apply foundational statistical concepts to analytical projects
Explore data using spreadsheets, programming languages, and analytical tools
Support research involving business operations, technology, intelligence, and national security applications
Interpret analytical results and communicate findings to team members
Develop dashboards, charts, graphs, and other data visualizations
Prepare analytical reports, presentations, and research summaries
Maintain recurring reports and performance metrics
Gain exposure to predictive analytics and machine learning concepts
Test and evaluate analytical methods or models under experienced professional guidance
Support exploratory research involving automation, artificial intelligence, and emerging data technologies
Participate in technical discussions and collaborative problem-solving activities
Document analytical processes, methodologies, and project findings
Work alongside data scientists, analysts, and other technical professionals
Support research and analysis for 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 interests, skills, and project needs

Requirements

What you’ll need

Currently 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
Drug testing may apply to post-offer applicants and employees
Preferred but not required: exposure to Python, R, SQL, or similar programming languages
Preferred but not required: familiarity with Power BI, Tableau, or Python visualization libraries
Preferred but not required: coursework in statistics, data mining, machine learning, or database management
Preferred but not required: experience with datasets in academic projects, research, or extracurricular activities
Preferred but not required: interest in artificial intelligence, predictive analytics, automation, or national security applications
Preferred but not required: familiarity with Jupyter Notebook, pandas, or Git

Benefits

Comp & perks

Flexible part-time schedule accommodating academic schedules and business needs
Hands-on technical experience
Professional mentorship
Opportunities to apply classroom knowledge to real-world challenges
Exposure to data science, machine learning, predictive analytics, artificial intelligence, and automation
Guidance on technical projects
Professional development in analytical writing, communication, presentation, and critical-thinking skills
Reasonable accommodation for applicants with disabilities