Analytics Summer Intern - Remote
About the Role
Join Experian as an Analytics Summer Intern - Remote and kickstart your career in data analysis. This internship offers you the chance to work under the guidance of the Statistical Analysis Manager, where you will assist with data migration and analytics, modernizing processes, and creating strategic insights. As an Analytics Intern, you'll work remotely on exciting data analysis projects that will enhance your skills and provide valuable experience in a global data and technology company.
What You'll Do
- Assist with data migration and analytics tasks to support the team in delivering high-quality insights.
- Utilize Python and SQL for data transformation and analysis, contributing to the modernization of processes.
- Collaborate with team members to develop strategic insights that drive business decisions.
- Participate in volunteer opportunities to give back to the community while gaining professional experience.
- Work independently and collaboratively in a flexible work environment that supports your growth.
Requirements
- Currently enrolled in a Bachelor's degree program in Computer Science or a related field.
- Experience with programming in SAS, Python, and SQL is preferred.
- Ability to work independently and collaboratively within a team.
- Must return to school in Fall 2026 after the internship.
- Strong analytical skills and a passion for data-driven decision-making.
Nice to Have
- Previous internship experience in data analysis or a related field.
- Familiarity with statistical analysis tools and techniques.
- Excellent communication skills to convey insights effectively.
What We Offer
- Fully remote position allowing you to work from anywhere in the world.
- Volunteer Time Off to engage in community service activities.
- Great compensation package for interns.
- Flexible work schedule to accommodate your academic commitments.
- Eligibility for 401(k) participation after 90 days of employment.
This internship at Experian offers a unique opportunity for students to gain hands-on experience in data analysis while working remotely. With a supportive environment and flexible schedule, it's an ideal position for aspiring data analysts.
Who Will Succeed Here
Strong proficiency in Python and SQL for data manipulation and analysis, capable of writing efficient queries to extract and transform data from large datasets.
Self-motivated and disciplined individual who thrives in a remote work environment, demonstrating excellent time management skills to balance multiple projects and deadlines.
Analytical mindset with a passion for statistical analysis, able to interpret complex datasets and generate actionable insights to support data-driven decision-making.
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