Data Analyst Internship 2026 - Remote

Overview

Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

In Short

• Participate in a summer internship with Lucid Software.
• Work with various departments like Marketing, Sales Operations, and Data Science.
• Split time across two different functions for diverse learning.
• Receive coaching and guidance from full-time analysts.
• Engage in team training and daily working sessions.
• Identify problems and opportunities within the business.
• Develop data-driven recommendations.
• Implement initiatives to grow the business.
• Ideal for undergraduate or graduate students.
• Focus on teamwork and problem-solving.

Requirements

• Currently pursuing a graduate or undergraduate degree in a technical field.
• Ability to work with large data sets (SQL, Python, R).
• Basic understanding of statistics and hypothesis testing.
• Strong leadership and communication skills.
• Able to think strategically and tackle open-ended problems.
• Detail-oriented, organized, and a good team player.
• This position is for students graduating in December 2026 or later.

Benefits

• Gain hands-on experience in data analysis.
• Work in a supportive and collaborative environment.
• Opportunity to learn from experienced professionals.
• Exposure to multiple business functions.
• Develop technical and analytical skills.
• Engage in networking opportunities.
• Contribute to meaningful projects.
• Flexible work arrangements.
• Build a foundation for a career in data analysis.
• Receive feedback and mentorship.