Constructor.io

data analyst in e-commerce

In short

Senior data analyst role at Constructor, a product discovery platform for e-commerce (search, recommendations, shopping agents). The job involves analyzing large-scale datasets, running A/B tests, defining metrics, building dashboards, and partnering with product, engineering, and business teams. Requires strong SQL and Python skills, understanding of A/B testing and ML pipelines, and English at B2 level; remote work with a salary from 562,646 ₽/month.

Описание
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.
Задачи
•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
Требования
•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.
Условия
•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

Stop applying.
Get referred.

$10 in free credits

In just 60 seconds, fully on autopilot — Eraldt's AI agents read your CV, map the roles you fit, find live vacancies and the people who can refer you, write personal emails, and get you referred.

This isn't an application: your CV doesn't go to the company, and we don't promise a referral for this exact role.

Discover who else lands interviews on autopilot