Data Analyst / Data Scientist Intern

🔥 0 minutes ago

🐊 Florida – Remote

🐊 Florida – Remote

💵 $10 - $20 / hour

⏱ Part Time

⚪️ Entry-level

📉 Data Analyst

🚫👨‍🎓 No degree required

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Morgan 6 LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎖️ Defense

📦 Logistics

🔐 Security

Defense • Logistics • Security

Morgan 6 LLC is a company that provides technology solutions with a focus on security and privacy. It utilizes reCAPTCHA technology to ensure user verification and protect against spam and abuse on websites.

📋 Description

• 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

• 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

• 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

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