data analyst in e-commerce

Constructor is a product discovery platform for e-commerce, offering search, recommendations, and shopping agents. Its in-house search engine uses transformers and generative LLMs to optimize metrics such as revenue, conversion rate, and profit, serving over 1 billion queries daily across 150 languages and roughly 100 countries.

• 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 their impact on key business metrics;
• Define and validate metrics that reflect 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;
• Use SQL, Python, and distributed data systems to process and analyze large volumes of data.

• 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, including pandas, NumPy, and visualization libraries;
• Understanding of A/B testing and statistical concepts;
• Understanding of machine learning pipelines, training data quality, and model evaluation;
• Experience defining metrics, building metric trees, and analyzing product funnels;
• Ability to communicate insights clearly and translate business needs into analytical solutions;
• Comfortable working with multiple stakeholders in a fast-paced environment;
• English B2 (Upper-Intermediate);
• Nice to have: familiarity with ranking, recommendations, or search relevance, experience in a customer-facing role, experience in e-commerce or product analytics.

• Regular team offsite events;
• Unlimited vacation time; employees are strongly encouraged to take at least 3 weeks per year;
• Work-from-home stipend;
• Apple laptops provided to new employees;
• Annual training and development budget;
• Maternity and paternity leave for qualified employees;
• Stock options in addition to the base salary.