Data Analyst: Merchant Intelligence Team (Remote)

About us

Constructor is the next-generation platform for search and discovery in e-commerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.

Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest e-commerce companies in the world like Sephora, Under Armour, and Petco.

We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.

Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.

Merchant Intelligence Team

An important part of our product is the customer dashboard that helps merchandizers to analyze shopping behavior and manually adjust algorithmic results. The goal of the Merchant Intelligence team is to:

• Help merchandizers achieve their e-commerce goals, increasing satisfaction with their sites and retention of customers.
• Provide insights to merchants they can't get anywhere else.
• Become a critical point of merchant planning, decision making, and analysis so we become a sticky part of their organization.

Challenges you will tackle

• Enhance the dashboard experience for merchandizers by building analytics that provide actionable insights to improve e-commerce KPIs.
• Perform data exploration and research user behavior.
• Implement end-to-end data pipelines to support real-time analytics for essential business metrics.
• Take part in product research and development, iterate with prototypes and customer product interviews.