Data Analytics Intern (Summer 2025)

As a Data Analytics Intern at Chime, you'll be responsible for evaluating AI-enabled data tools, assisting the Vice President of Analytics in vendor engagement, exploring use cases with Chime’s data, and supporting various analysis projects. You'll also document findings and prepare a presentation for Data organization leadership, making it a comprehensive and engaging internship filled with learning opportunities.

To qualify for the Data Analytics Intern position at Chime, you should be currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Math, Statistics, Economics, or a related field. Having solid knowledge of SQL and at least basic experience with Python or R is essential. Most importantly, a strong sense of curiosity and the ability to work collaboratively in a team environment will set you up for success!

The Data Analytics Internship at Chime is structured as a 3-month engagement, running during the Summer of 2025. The starting hourly rate for this role ranges from $34 to $49, depending on your location, skills, and experience. This compensation reflects the valuable contributions you can make during your internship.

As a Data Analytics Intern at Chime, you'll have the chance to work with a variety of cutting-edge technologies. You will explore AI-enabled tools including ChatGPT and Snowflake Cortex, giving you exposure to advanced data analytics platforms. Your hands-on experience will equip you with practical skills that are highly sought after in the industry.

In your role as a Data Analytics Intern at Chime, you'll assist with various analysis projects from inception to completion. These projects will allow you to apply theoretical knowledge in practical settings, and through collaboration, you'll gain insights into the life of an analytics team member while contributing meaningful findings to Chimer’s mission.

When answering this question, express your passion for data analytics and how it drives decision-making. Discuss your interest in financial technology and how Chime’s mission of empowering financial progress resonates with you. Your enthusiasm for using data to solve real-world problems will stand out!

Discuss a systematic approach to problem-solving, such as defining the problem, gathering relevant data, identifying patterns, and formulating actionable insights. Cite examples where you've successfully used analytics to tackle challenges in prior projects or coursework.

Provide a relevant example from your academic or personal projects. Detail the objectives of the project, how you used SQL or Python to gather and analyze data, and the insights you derived from it. This illustrates your practical experience and analytical skills.

Share a specific experience where teamwork was crucial. Explain your role in the team, how you engaged with others, dealt with any challenges, and achieved collective goals. Emphasizing collaboration is key as it relates directly to the internship.

Mention skills like proficiency in SQL, statistical analysis, programming in Python or R, and strong communication abilities to effectively convey findings. Highlighting soft skills such as curiosity and teamwork will also showcase your fit for Chime’s culture.

Discuss your exposure and any experiences you've had with AI tools or analytics platforms. Share how you can envision using these technologies in practical scenarios, demonstrating your readiness to explore and engage with these tools at Chime.

Reflect on any specific areas of data analytics that fascinate you, such as predictive modeling or trend analysis. Be honest about your interests and how you’d like to apply them within the context of Chime’s mission in financial technology.

Showcase your organizational skills by discussing tools or methods you use to prioritize tasks effectively. Mention your ability to adapt to changing circumstances while still focusing on important deadlines, which is vital in an internship setting like Chime.

Express your eagerness to gain real-world experience, particularly in applying data analytics to financial technology. Highlight specific areas you want to explore, such as engaging with AI tools or understanding team dynamics, to emphasize your desire for growth.

Explain that you view constructive criticism as an essential part of personal and professional growth. Share how you’d embrace feedback, seek clarification when necessary, and implement it to improve your performance, demonstrating your commitment to continuous learning.