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Описание вакансии
Текст:
TL;DR
Data Analyst Intern (AI): Conducting data analyses, creating metrics and dashboards, and translating insights into recommendations for Notion's product and business with an accent on SQL-based analysis, cross-functional collaboration, and strategic decision-making. Focus on identifying product and business opportunities, monitoring growth and health metrics, and prototyping features with AI technologies.
Location: Hybrid in San Francisco, California; must work from the SF office from January 25 to April 16.
Salary: $55/hour for Bachelor's students or $59/hour for Master's students.
Company
Notion is a collaborative AI workspace for knowledge, projects, meetings, and AI tools.
What you will do
- Conduct data analyses to identify opportunities for improvements in the product and business.
- Communicate insights and actionable recommendations to cross-functional teams and leadership.
- Partner with product, engineering, and go-to-market teams to use data to advance their areas.
- Create metrics and build dashboards to monitor Notion's growth and health.
- Contribute to strategic decision-making through clear analysis and recommendations.
Requirements
- Pursuing a bachelor's or master's degree in Economics, Statistics, Applied Math, Engineering, Computer Science, or another quantitative field, with graduation by December 2027.
- Availability to work from the San Francisco office from January 25 to April 16.
- Previous research or internship experience.
- Proficiency in SQL for data extraction, transformation, and analysis.
- Working proficiency in Python or R, or willingness to develop proficiency.
- Strong problem-solving, adaptability, communication, and cross-functional collaboration skills.
Nice to have
- Previous internship experience with product, engineering, or go-to-market teams.
- Experience building or prototyping features with AI technologies such as LLMs, embeddings, or ML.
- Interests outside technology, including art, history, or social sciences.
- Familiarity with computing pioneers such as Ada Lovelace, Douglas Engelbart, or Alan Kay.
Culture & Benefits
- Competitive cash compensation, equity, and benefits.
- Emphasis on thoughtful problem-solving, user impact, empathetic communication, and teamwork.
- Encouragement to use AI as a collaborator and to learn through tinkering and discovery.
- Equal opportunity employment and reasonable accommodations during the application process.
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