Tech Stack
PythonAnalyticsSQL
Job Description, Responsibilities & Requirements
About the Position
Join a fast-moving adtech leader and bridge the gap between business strategy and technical reality. As a Research and Analytics Intern, you will leverage "vibe coding" and cutting-edge LLMs to ship rapid prototypes and transform messy data into actionable insights that drive real-world ROI.
Responsibilities
- Build quick internal tools, data scrapers, and automation scripts using LLMs like ChatGPT, Claude, and Cursor to ship POCs in days.
- Translate ambiguous marketing and business questions into structured analytical approaches and clean large datasets for actionable insights.
- Research and test new AI agents and prompt engineering techniques to automate content workflows, sentiment analysis, and lead scoring.
- Communicate complex insights through data storytelling and build responsive dashboards using Looker Studio, Tableau, or Streamlit.
Requirements
- A student able to commit to a 6-month full-time internship with relevant coursework in AI and data analytics.
- Proficient in using LLMs, AI agents, and "vibe coding" tools (e.g., Claude, Cursor) to build fast POCs in Python and SQL.
- Possess an agile mindset with a high "figure-it-out" factor and a radical curiosity to self-learn new technologies in hours.
Nice to Have
- Skill in transforming messy datasets into clear narratives and visual dashboards using BI platforms like Looker Studio or Streamlit.
- A strong grasp of marketing funnels, KPIs, and business logic to bridge the gap between strategy and data.
We Offer
- Opportunity to work with cutting-edge LLMs and AI agents.
- Exposure to real-world data challenges and rapid prototyping.
- Networking and learning opportunities within a fast-moving adtech leader.
About the Company
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Contact Us
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