Role overview
- 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
What you'll work on
- Develop and maintain data pipelines using Aribyte, 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
What we're looking for
- 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
Tags & focus areas
Used for matching and alerts on DevFound Internship Ai Machine Learning Data Science Fulltime