Marketing R&D Analyst Intern

1. About Us:
At LazyCy, we are building an advanced advertising platform leveraging Amazon Advertising to empower brands and sellers to launch effective campaigns, scale their reach, and boost sales on Amazon.
Our platform seamlessly combines Amazon Advertising, shopper behavior data, and AI-powered optimization tools, helping businesses target the right customers with smart, efficient budget strategies.
With Retail Media and Amazon Advertising ranking among the fastest-growing ad markets globally, we are scaling our team to deliver this impactful solution to more businesses worldwide.
2. The Role:
LazyCy is looking for a Marketing R&D Analyst Intern to join our Marketing team and support research across international E-commerce markets.
You will work with real market, competitor and customer data to understand what customers want, how competitors are performing, and where new opportunities may exist. This is a great opportunity for students who are curious about E-commerce, Marketing and Data, and want to develop strong analytical and business thinking skills.
At LazyCy, we don't expect you to know everything from day one. We value curiosity, learning agility and the ability to turn data into meaningful insights.
More than an internship, this role is an opportunity to build a long-term career with LazyCy. Based on your performance, potential and mutual fit, you may have the opportunity to transition into a full-time position and continue developing your career with us after the internship.
3. What You Will Do:
Research E-commerce categories on Amazon and other marketplaces: market size, price bands, key players, and how demand shifts through the year.
Track competitors week over week - pricing, promotions, product line-up, listing images, A+ content, video and review trends - and work out what is actually driving their performance.
Mine customer reviews, Q&A and search data to build evidence-based customer personas: what people buy for, what stops them buying, and the language they use to describe the problem.
Benchmark products and pricing feature by feature, and document category best practices, what a strong listing looks like in this niche, and what "good" performance actually means.
Identify category gaps, unmet needs and white space where our clients can differentiate.
Turn findings into concrete recommendations: the angle to lead with, the message to test, the image sequence, and the video hook and script direction.
Propose advertising hypotheses for the Performance team - keywords, audiences, budget shifts - then read the results together and record what was learned.
Build research trackers in Excel or Google Sheets, and turn your analysis into clear one-pagers and decks for the Marketing, Creative and Performance teams.