Data Analyst Intern
4 days ago
To Apply: A cover letter and resume are important for us to understand your interest and experience, skills and how your qualifications align with the role. Please upload your cover letter through our ADP Application System as an additional document or include it as page one of your resume documents .
Internet2 is a non-profit, member-driven advanced research and higher education technology organization. Founded in 1996, Internet2 provides and delivers mission-critical technology services and programs. Internet2's core infrastructure components include the nation's largest and fastest network and cloud and security services that are influenced, customized, and designed to address the unique needs of technology leaders in research and education (R&E). Internet2 serves and supports U.S. higher education institutions, federal government agencies, regional and state education networks, leading industry providers, and international R&E network partners across more than 100 countries. Internet2 programs advance opportunities to convene, collaborate, and innovate.
Position Overview:
Internet2 is seeking a highly motivated and detail-oriented Data Analyst Intern to support the NET+ program. This paid, hybrid-remote internship offers an excellent opportunity to gain hands-on experience in data analysis within a dynamic and impactful environment. The intern will play a key role in ensuring the accuracy and integrity of our data, contributing directly to data-informed decision-making within the business unit. This position reports to the Director of Business Operations.
Responsibilities:
- Contribute to projects focused on improving data collection, analysis, and reporting processes.
- Bring fresh perspectives and ideas to key projects.
- Contribute to projects critical to the business unit's data-informed decision-making.
- Collaborate with team members to understand business needs and translate them into data-driven solutions.
- Perform manual data cleaning and validation to ensure data quality.
- Assist with various data-related tasks as assigned.
- Gain exposure to and potentially work with cloud platforms such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), as well as AI tools.
Qualifications:
- Demonstrated ability to work independently and complete tasks in a timely fashion with minimal supervision .
- Currently pursuing or recently completed an Associate's or Bachelor's degree in any relevant field, including but not limited to Data Science, Business Analytics, Computer Science, Information Technology, or a related discipline or field.
- Strong attention to detail and a commitment to data accuracy.
- Excellent organizational and time-management skills.
- Strong communication and interpersonal skills.
Preferred Qualifications:
- Familiarity with data analysis concepts and tools.
- Interest in cloud computing and AI.
- Preferred locations: NYC metro area (NY, NJ, CT), DC/DMV metro area (DC, MD, VA), Research-Triangle Park, NC area, and Ann Arbor, MI.
- Remote candidates in other locations will be considered, minimal travel may be required.
- Potential hybrid work approach for candidates in the preferred locations.
Internship Opportunities:
- Paid internship: $20 per hour.
- 10-15 hours per week.
- Opportunity to gain valuable experience in a real-world business setting.
- Exposure to leading-edge technologies, including AWS, GCP, and AI tools.
- Work on projects that directly impact the NET+ program and its mission.
- Develop skills in data cleaning, analysis, and reporting.
- Potential for academic credit (please discuss with your university/college for guidelines).
- Collaborative and supportive work environment.
To Apply:
A cover letter and resume are important for us to understand your interest and experience, skills and how your qualifications align with the role. Please upload your cover letter through our ADP Application System as an additional document.
Internet2 is a 501(c)(3) not-for-profit organization and equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to any characteristic protected by local, state, or federal laws, rules, or regulations.
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