Job Description

Job Description

Job Description

Position SummaryWe are seeking a highly motivated and detail-oriented Summer Intern to assist in organizing and cleaning up our on-premises data. This position offers a valuable opportunity to gain hands-on experience in data management, and it is ideal for students or recent graduates who are looking to develop their skills in the field of data science and information technology.
Key Responsibilities:

• Review and assess the current state of on-premises data storage systems.
• Identify duplicate, outdated, and irrelevant data files and prepare them for archiving or deletion.
• Structure and organize data files in a logical and systematic manner.
• Create and implement data management protocols and best practices.
• Collaborate with team members to understand data requirements and develop a coherent data organization strategy.
• Maintain detailed documentation of all data organization and cleanup activities.
• Assist in the development of reports and visualizations to illustrate data organization progress and impact.
• Provide support in data migration projects as needed.

Minimum Requirements and Qualifications

• Currently pursuing or recently completed a degree in Information Technology, Computer Science, Data Science, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in data management tools and software, such as Microsoft Excel, SQL, or similar.
• Excellent attention to detail and organizational skills.
• Ability to work independently and as part of a team.
• Effective communication skills, both written and verbal.
• Basic understanding of data privacy and security principles.

Preferred Qualifications

• Experience with data cleaning and organization projects.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Knowledge of scripting languages such as Python or R.
• Prior internship or work experience in data management.

Benefits

• Competitive stipend and potential for academic credit.
• Hands-on experience in data management and organization.
• Opportunity to work with experienced professionals in the field.
• Access to company resources and training programs.
• Flexible work schedule to accommodate academic commitments.
• Networking opportunities with industry experts.

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