The job is looking to solve the problem of making data-driven decisions by providing data insights and building infrastructure to support decision-making
Requirements
- Strong programming fundamentals
- Comfortable with SQL and Python
- Interest in data engineering, analytics engineering, or building infrastructure that supports decision-making
- Experience with dbt models and Redshift
- Experience with Looker and data visualization
- Familiarity with data processing, analysis, or pipeline tasks
Responsibilities
- Work with team members and stakeholders to understand business questions and help find data-driven answers
- Write SQL queries to explore data, identify trends, and support metric development
- Contribute to Python scripts that assist with data processing, analysis, or pipeline tasks
- Help build and update dbt models to organize raw data in Redshift for easier use
- Assist in creating dashboards in Looker to make data insights accessible to different teams
- Support documentation and basic testing to improve data accuracy and visibility
Other
- Full-time undergraduate and graduate students in the US or Canada with at least one year of eligibility
- Applications will be accepted and evaluated in the prior season
- 5 days a week (Monday-Friday) in our San Francisco HQ
- Participation in intern events, team meetings, and company events
