Senior Data Analyst: Multiple Teams

About Us

Constructor is the next-generation platform for search and discovery in ecommerce, 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 ecommerce 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.

About the Role

We are hiring Data Analysts to work across multiple teams at Constructor, including Data Science Integrations, Ranking, Recommendations, AI Shopping Agents, Offsite Search Optimisation, Personalization and Retail Media.

In this role, you will work at the intersection of data, product, and machine learning. You will analyze user behavior, design and evaluate experiments, define metrics, and generate insights that directly influence product decisions and business outcomes.

You will collaborate closely with engineers, data scientists, product managers, and business stakeholders, helping translate data into actionable improvements across our platform.

What you will do

Analyze user behavior and large-scale datasets to identify patterns, issues, and opportunities for improvement

Design, run, and analyze A/B tests to evaluate product changes and measure impact on key business metrics

Define and validate metrics that reflect both user experience and business outcomes

Build dashboards, reports, and data tools to support decision-making across teams

Partner with customers, engineering, product, and business teams to translate insights into product improvements

Work with SQL, Python, and distributed data systems to process and analyze large volumes of data

Requirements

We are looking for strong analytical thinkers who are comfortable working with data to drive product and business decisions.

Core skills:

Strong analytical skills and experience solving business problems using data

Solid knowledge of SQL and experience working with large datasets

Experience with Python for data analysis (pandas, NumPy, visualization libraries)

Understanding of A/B testing and statistical concepts

Product & data understanding: