About Us:
Fizz is the #1 money app for students. Whether you want to build credit, manage your money or have no idea where to start, Fizz is there to help you every step of the way. Students at over 300 universities including Michigan State, University of Florida, UCLA, and Harvard chose Fizz for safe credit building with daily autopay, smart spend limits, and local campus deals. Fizz is backed by Kleiner Perkins, SV Angel, Y Combinator, and the founders of eight Unicorns.
Job Description:
This role is open to both part-time and full-time candidates! We are seeking a motivated Data Analyst Intern to join our growing Analytics team for the summer (and potentially beyond). The ideal candidate will have some experience in data analysis or related fields, with a foundation in SQL and Python. They should be comfortable working with data pipelines, creating reports, and collaborating with engineers to implement effective tracking solutions. This role offers significant growth potential for someone passionate about leveraging data to drive business decisions in the fintech space.
Qualifications:
Proficiency in SQL (understanding of data querying concepts; exact syntax knowledge not required)
Knowledge of Python, particularly with data manipulation libraries like Pandas
Exposure to BI tools (Looker Studio, Looker, Metabase)
Conceptual understanding of the data journey and ELT/ETL processes
Understanding of ML and AI algorithms (conceptual knowledge of how they work and how they can be applied to business problems)
Proficiency with Cursor/Windsurf and prompt engineering. Passionate about AI
Working towards a bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Economics) or equivalent practical experience
Key Responsibilities:
Develop and maintain data pipelines using DBT or similar tools
Build and maintain dashboards and reports to help teams monitor KPIs and business metrics
Analyze user behavior data to identify trends, patterns, and insights that drive product decisions
Contribute to the design and optimization of data flows and ETL/ELT processes
Conduct ad-hoc analyses to address specific business questions from various departments
Support A/B testing initiatives with proper experiment design and result analysis
Contribute to data quality efforts by identifying inconsistencies and proposing solutions
Identify opportunities to apply ML/AI solutions to business challenges and collaborate with data scientists on implementation
Nice to Have:
Knowledge of DBT for data transformation workflows
Understanding of marketing technology stacks and attribution models
Passion for fintech
Experience with version control systems like Git
Familiarity with statistical analysis and hypothesis testing
Experience with data visualization techniques and best practices
Practical experience implementing or working with ML models for business applications
How to Thrive in This Role:
Be curious. Be motivated.
Demonstrate intellectual curiosity and a proactive approach to solving problems
Communicate data insights clearly to both technical and non-technical stakeholders
Balance attention to detail with the ability to move quickly in a startup environment
Stay up-to-date with emerging tools and techniques in the data analytics space
Contribute to developing a data-driven culture across the organization
Learn rapidly and adapt to changing priorities and data needs
Think holistically about the entire data lifecycle from collection to analysis
Fizz Perks:
High potential for growth & complete ownership from the beginning 📈
Work with colleagues who get it 🧠
Rapid learning environment 🚀
Competitive salary 💸
New York City Office with remote option and flexible WFH policy 💼
If you don't match 100% of these qualifications but have a demonstrated passion for data analysis and an eagerness to learn, please still apply!
