FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong data analysis capabilities, including SQL querying and proficiency in Python and/or R, to support business strategy and decision-making. Ability to create automated dashboards and conduct deep-dive analyses to derive insights that drive growth.
Highest-signal resume keywords
SQL QueryingData Analysis with PythonRegression ModelsLooker FamiliarityStatistical Methods
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CleaningData VisualizationSegmentation ModelsAutomated DashboardsPerformance Marketing Analysis
Soft Skills
Independent WorkMentorship AcceptanceStakeholder CommunicationAdaptability to Change
Tools & Technologies
LookerAmplitudeDbtSnowflake
Industry Keywords
Data-Driven CultureBusiness StrategyPerformance MarketingComplex Data Sets
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Use data to answer strategic questions and support business strategy and rapid growth
- Organize, visualize, and understand large datasets related to performance marketing channels
- Conduct deep-dive analysis
- Create regression or segmentation models
- Build automated dashboards and funnels for internal teams
- Generate reporting to drive business growth and derive strategic insights from product, user, and operational data
- Promote a data-driven culture and support strategy and decision-making
- Access, clean, and organize raw data for teams and stakeholders
- Work on real projects alongside full-time developers and contribute work that ships and is used
- Participate in team meetings, Slack discussions, and social events
Requirements
What you’ll need- Current enrollment in a college, university, or school program
- Internship must be part of an academic program or otherwise completed independently, as applicable
- Ability to work 40 hours per week
- Ability to maintain a minimum 6-hour overlap with the Eastern Time Zone
- Availability during core working hours of 9/10 a.m. to 5/6 p.m. EST, Monday to Friday, with some flexibility
- Ability to pull, clean, and manipulate large sets of complex data
- SQL querying and data analysis with Python and/or R
- Familiarity with Looker, Amplitude, dbt, and Snowflake
- Solid understanding of common statistical methods and real-world applications
- Ability to work independently while accepting mentorship and guidance
- Ability to address stakeholder requests and provide valuable insights
- Ability to navigate ambiguous or changing priorities
- Understanding of how data insights connect to broader business goals
- Must reside in the country where your school is located for the complete internship duration
Benefits
Comp & perks- Home Office Setup Allowance: $300 one-time
- Friday UberEats Allowance: $25/week
- Learning & Development Allowance: $300 per term
- Fitness/Wellness Allowance: $120 per term
- Internship Scholarship Program
- Remote-first work environment
- Optional virtual and in-person socials, including company-wide game nights and events
- Career progression and mentorship opportunities
